VVG05

Permanent URI for this collection

Keynote 1
Visual Modeling: Unifying Graphics and Vision
Demetri Terzopoulos
Animation
Learnt Inverse Kinematics for Animation Synthesis
Eng-Jon Ong,Adrian Hilton
A Rigid Transform Basis for Animation Compression and Level of Detail
G. Collins,A. Hilton
Poster Session 1
On the Separation of Luminance from Colour in Images
Alan Woodland,Frédéric Labrosse
Multi-View Image Coding with Wavelet Lifting Scheme
N. Anantrasirichai,C. Nishan Canagarajah,David R. Bull
Texture Mapping Volume Objects
P. Shen,P. Willis
Color Reduction by Using a new Self-Growing and Self-Organized Neural Network
A. Atsalakis,N. Papamarkos
Modeling Falling and Accumulating Snow
T. B. Moeslund,C. B. Madsen,M. Aagaard,D. Lerche
Advances in Shadow Removing for Motion Detection Algorithms
P. Spagnolo,T. D'Orazio,M. Leo,A. Distante
Different Medical Modelling Strategies in a Single Collaborative Immersive Virtual Environment
A. Al-khalifah,R. McCrindle,V. Alexandrov
Keynote 2
3D Image Analysis and Synthesis at MPI Informatik
Christian Theobalt,Marcus A. Magnor,Hans-Peter Seidel
Motion, Synthesis and Computational Methods
Sensitivity Analysis in Image Synthesis
M. Trujillo,E. Izquierdo
Rigorous Computing in Computer Vision
Michela Farenzena,Andrea Fusiello
Motion Analysis in Video: Dolls, Dynamic Cues and Modern Art
J. P. Collomosse,P. M. Hall
Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain
Ruifeng Xu,Sumanta N. Pattanaik
Multiple Views and 3-D
SVD-Matching using SIFT Features
Elisabetta Delponte,Francesco Isgrò,Francesca Odone,Alessandro Verri
Depth Enhanced Panoramas
Gleb Bahmutov,Voicu Popescu,Mihai Mudure,Elisha Sacks
Adaptive Grid Optical Tomography
Ivo Ihrke,Marcus Magnor
Correspondenceless Stereo for 3-D Iris Location
Tom Anderson,Emanuele Trucco,Marco Razeto
Keynote 3
Talking Faces - Technologies and Applications
Jörn Ostermann,Axel Weissenfeld,Kang Liu
Image Matching, Recognition, and Retrieval
Visual Recognition of Man-made Materials and Structures in an Office Environment
Y. Z. Song,C. P. Town
A New Framework for Trademark Retrieval Based on Size Functions
A. Cerri,M. Ferri,D. Giorgi
Image classification using compression distance
Yuxuan Lan,Richard Harvey
Poster Session 2
Bitvectors for Robust Hierarchical Template Matching
David Tweed
Merging Graphics and Vision for 3D Face Recognition
Li Bai,Yi Song
Linear Hashtable Method and Predicted Hexagonal Search Algorithm with Moments Invariant
Yunsong Wu,Graham Megson,Zhengang Nie,Xuan Liu
Automatic Non-Photorealistic Rendering through Soft-Shading Removal: A Colour-Vision Approach
A. Olmos,F. A. A. Kingdom
Keynote 4
Use of Computer Vision/ Computer Graphics Collaboration for 3D Rotoscopy
André Gagalowicz
Rendering
Natural Image Matting
Peter M. Hillman,John M. Hannah
Regularised Anisotropic Nonlinear Diffusion for Rendering Refraction in Volume Graphics
David Rodgman,Min Chen
Realistic Real-Time Hair Simulation and Rendering
Yvonne Jung,Alexander Rettig,Oliver Klar,Timo Lehr
A Model-Based Approach to Image Relighting with a Potential for Real-Time Implementation
Claus B. Madsen,Rune Laursen

BibTeX (VVG05)
@inproceedings{
10.2312:vvg.20051003,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
A Rigid Transform Basis for Animation Compression and Level of Detail}},
author = {
Collins, G.
and
Hilton, A.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051003}
}
@inproceedings{
10.2312:vvg.20051000,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Table of Contents and Preface}},
author = { year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051000}
}
@inproceedings{
10.2312:vvg.20051002,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Learnt Inverse Kinematics for Animation Synthesis}},
author = {
Ong, Eng-Jon
and
Hilton, Adrian
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051002}
}
@inproceedings{
10.2312:vvg.20051001,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Visual Modeling: Unifying Graphics and Vision}},
author = {
Terzopoulos, Demetri
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051001}
}
@inproceedings{
10.2312:vvg.20051007,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Color Reduction by Using a new Self-Growing and Self-Organized Neural Network}},
author = {
Atsalakis, A.
and
Papamarkos, N.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051007}
}
@inproceedings{
10.2312:vvg.20051006,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Texture Mapping Volume Objects}},
author = {
Shen, P.
and
Willis, P.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051006}
}
@inproceedings{
10.2312:vvg.20051005,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Multi-View Image Coding with Wavelet Lifting Scheme}},
author = {
Anantrasirichai, N.
and
Canagarajah, C. Nishan
and
Bull, David R.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051005}
}
@inproceedings{
10.2312:vvg.20051009,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Advances in Shadow Removing for Motion Detection Algorithms}},
author = {
Spagnolo, P.
and
D'Orazio, T.
and
Leo, M.
and
Distante, A.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051009}
}
@inproceedings{
10.2312:vvg.20051011,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
3D Image Analysis and Synthesis at MPI Informatik}},
author = {
Theobalt, Christian
and
Magnor, Marcus A.
and
Seidel, Hans-Peter
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051011}
}
@inproceedings{
10.2312:vvg.20051008,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Modeling Falling and Accumulating Snow}},
author = {
Moeslund, T. B.
and
Madsen, C. B.
and
Aagaard, M.
and
Lerche, D.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051008}
}
@inproceedings{
10.2312:vvg.20051004,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
On the Separation of Luminance from Colour in Images}},
author = {
Woodland, Alan
and
Labrosse, Frédéric
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051004}
}
@inproceedings{
10.2312:vvg.20051010,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Different Medical Modelling Strategies in a Single Collaborative Immersive Virtual Environment}},
author = {
Al-khalifah, A.
and
McCrindle, R.
and
Alexandrov, V.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051010}
}
@inproceedings{
10.2312:vvg.20051013,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Rigorous Computing in Computer Vision}},
author = {
Farenzena, Michela
and
Fusiello, Andrea
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051013}
}
@inproceedings{
10.2312:vvg.20051017,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Depth Enhanced Panoramas}},
author = {
Bahmutov, Gleb
and
Popescu, Voicu
and
Mudure, Mihai
and
Sacks, Elisha
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051017}
}
@inproceedings{
10.2312:vvg.20051016,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
SVD-Matching using SIFT Features}},
author = {
Delponte, Elisabetta
and
Isgrò, Francesco
and
Odone, Francesca
and
Verri, Alessandro
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051016}
}
@inproceedings{
10.2312:vvg.20051021,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Visual Recognition of Man-made Materials and Structures in an Office Environment}},
author = {
Song, Y. Z.
and
Town, C. P.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051021}
}
@inproceedings{
10.2312:vvg.20051022,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
A New Framework for Trademark Retrieval Based on Size Functions}},
author = {
Cerri, A.
and
Ferri, M.
and
Giorgi, D.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051022}
}
@inproceedings{
10.2312:vvg.20051012,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Sensitivity Analysis in Image Synthesis}},
author = {
Trujillo, M.
and
Izquierdo, E.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051012}
}
@inproceedings{
10.2312:vvg.20051019,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Correspondenceless Stereo for 3-D Iris Location}},
author = {
Anderson, Tom
and
Trucco, Emanuele
and
Razeto, Marco
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051019}
}
@inproceedings{
10.2312:vvg.20051020,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Talking Faces - Technologies and Applications}},
author = {
Ostermann, Jörn
and
Weissenfeld, Axel
and
Liu, Kang
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051020}
}
@inproceedings{
10.2312:vvg.20051015,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain}},
author = {
Xu, Ruifeng
and
Pattanaik, Sumanta N.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051015}
}
@inproceedings{
10.2312:vvg.20051018,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Adaptive Grid Optical Tomography}},
author = {
Ihrke, Ivo
and
Magnor, Marcus
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051018}
}
@inproceedings{
10.2312:vvg.20051014,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Motion Analysis in Video: Dolls, Dynamic Cues and Modern Art}},
author = {
Collomosse, J. P.
and
Hall, P. M.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051014}
}
@inproceedings{
10.2312:vvg.20051028,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Use of Computer Vision/ Computer Graphics Collaboration for 3D Rotoscopy}},
author = {
Gagalowicz, André
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051028}
}
@inproceedings{
10.2312:vvg.20051024,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Bitvectors for Robust Hierarchical Template Matching}},
author = {
Tweed, David
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051024}
}
@inproceedings{
10.2312:vvg.20051030,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Regularised Anisotropic Nonlinear Diffusion for Rendering Refraction in Volume Graphics}},
author = {
Rodgman, David
and
Chen, Min
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051030}
}
@inproceedings{
10.2312:vvg.20051025,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Merging Graphics and Vision for 3D Face Recognition}},
author = {
Bai, Li
and
Song, Yi
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051025}
}
@inproceedings{
10.2312:vvg.20051031,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Realistic Real-Time Hair Simulation and Rendering}},
author = {
Jung, Yvonne
and
Rettig, Alexander
and
Klar, Oliver
and
Lehr, Timo
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051031}
}
@inproceedings{
10.2312:vvg.20051023,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Image classification using compression distance}},
author = {
Lan, Yuxuan
and
Harvey, Richard
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051023}
}
@inproceedings{
10.2312:vvg.20051029,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Natural Image Matting}},
author = {
Hillman, Peter M.
and
Hannah, John M.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051029}
}
@inproceedings{
10.2312:vvg.20051026,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Linear Hashtable Method and Predicted Hexagonal Search Algorithm with Moments Invariant}},
author = {
Wu, Yunsong
and
Megson, Graham
and
Nie, Zhengang
and
Liu, Xuan
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051026}
}
@inproceedings{
10.2312:vvg.20051027,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
Automatic Non-Photorealistic Rendering through Soft-Shading Removal: A Colour-Vision Approach}},
author = {
Olmos, A.
and
Kingdom, F. A. A.
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051027}
}
@inproceedings{
10.2312:vvg.20051032,
booktitle = {
Vision, Video, and Graphics (2005)},
editor = {
Mike Chantler
}, title = {{
A Model-Based Approach to Image Relighting with a Potential for Real-Time Implementation}},
author = {
Madsen, Claus B.
and
Laursen, Rune
}, year = {
2005},
publisher = {
The Eurographics Association},
ISBN = {3-905673-57-6},
DOI = {
10.2312/vvg.20051032}
}

Browse

Recent Submissions

Now showing 1 - 33 of 33
  • Item
    A Rigid Transform Basis for Animation Compression and Level of Detail
    (The Eurographics Association, 2005) Collins, G.; Hilton, A.; Mike Chantler
    We present a scheme for achieving level of detail and compression for animation sequences with known constant connectivity. We suggest compression is useful to automatically create low levels of detail in animations which may be more compressed than the original animation parameters and for high levels of detail where the original animation is expensive to compute. Our scheme is based on spatial segmentation of a base mesh into rigidly transforming segments and then temporal aggregation of these transformations. The result will approximate the given animation within a user specified tolerance which can be adjusted to give the required level of detail. A spatio-temporal smoothing algorithm is used on decoding to give acceptable animations. We show that the rigid transformation basis will span the space of all animations. We also show that the algorithm will converge to the specified tolerance. The algorithm is applied to several examples of synthetic animation and rate distortion curves are given which show that in some cases, the scheme outperforms current compressors.
  • Item
    Table of Contents and Preface
    (The Eurographics Association, 2005) Mike Chantler
  • Item
    Learnt Inverse Kinematics for Animation Synthesis
    (The Eurographics Association, 2005) Ong, Eng-Jon; Hilton, Adrian; Mike Chantler
    Existing work on animation synthesis can be roughly split into two approaches, those that combine segments of motion capture data, and those that perform inverse kinematics. In this paper, we present a method for performing animation synthesis of an articulated object (e.g. human body and a dog) from a minimal set of body joint positions, following the approach of inverse kinematics. We tackle this problem from a learning perspective. Firstly, we address the need for knowledge on the physical constraints of the articulated body, so as to avoid the generation of a physically impossible poses. A common solution is to heuristically specify the kinematic constraints for the skeleton model. In this paper however, the physical constraints of the articulated body are represented using a hierarchical cluster model learnt from a motion capture database. Additionally, we shall show that the learnt model automatically captures the correlation between different joints through the simultaneous modelling their angles. We then show how this model can be utilised to perform inverse kinematics in a simple and efficient manner. Crucially, we describe how IK is carried out from a minimal set of end-effector positions. Following this, we show how this "learnt inverse kinematics" framework can be used to perform animation syntheses of different types of articulated structures. To this end, the results presented include the retargeting of a flat surface walking animation to various uneven terrains to demonstrate the synthesis of a full human body motion from the positions of only the hands, feet and torso. Additionally, we show how the same method can be applied to the animation synthesis of a dog using only its feet and torso positions.
  • Item
    Visual Modeling: Unifying Graphics and Vision
    (The Eurographics Association, 2005) Terzopoulos, Demetri; Mike Chantler
    The computer vision and computer graphics fields have been developing largely independently since their genesis in the early 1960s. However, there is now a significant amount of exciting research at the intersection of graphics and vision, and it is bringing the two disciplines closer together. Since the mid 1980s, my visual modeling research has taken a unified approach to vision and graphics, treating them formally as mutually converse problems. In this talk, I will first review early work on deformable models for image synthesis and analysis and show how these physics-based models ushered in a new paradigm known as image-based modeling. I will also present our recent work on image-based rendering, which again spans vision and graphics. Even more provocative opportunities for unifying graphics and vision are motivated by sophisticated, biology-based models: Within an artificial life paradigm, we have developed comprehensive computational models of humans and lower animals that take into consideration the relevant anatomy, biomechanics, and cognitive science. Central to these models is their ethological constituent, which is driven by active vision within the dynamic virtual environment. In particular, our current work on virtual humans focuses on the lifelike animation of visually perceptive, autonomous pedestrians in urban environments through the integration of (reactive) behavioral and (deliberative) cognitive components. Our work also furthers the cause of exploiting visually and behaviorally realistic virtual worlds for the development and testing of machine vision systems. To this end, I will demonstrate a surveillance system in a virtual train station populated by our autonomous virtual pedestrians. The system features a sensor network of readily recon- figurable active virtual cameras that generate synthetic video feeds emulating those generated by real surveillance cameras monitoring public spaces. Such research would be more or less infeasible in the real world in view of the effort and cost of deploying, modifying, and experimenting with an appropriately extensive camera network in a public space the size of a train station.
  • Item
    Color Reduction by Using a new Self-Growing and Self-Organized Neural Network
    (The Eurographics Association, 2005) Atsalakis, A.; Papamarkos, N.; Mike Chantler
    A new method for the reduction of the number of colors in a digital image is proposed. The new method is based on the developed of a new neural network classifier that combines the advantages of the Growing Neural Gas (GNG) and the Kohonen Self-Organized Feature Map (SOFM) neural networks. We call the new neural network: Self-Growing and Self- Organized Neural Gas (SGONG). Its main advantage is that it defines the number of the created neurons and their topology in an automatic way. As a consecutive, isolated color classes, which may correspond to significant image details, can be obtained. The SGONG is fed by the color components and additional spatial features. To speed up the entire algorithm and to reduce memory requirements, a fractal scanning sub-sampling technique is used. The method is applicable to any type of color images and it can accommodate any type of color space.
  • Item
    Texture Mapping Volume Objects
    (The Eurographics Association, 2005) Shen, P.; Willis, P.; Mike Chantler
    We present a combination of image-based texture mapping and projective space (pseudo-solid) texture. This imagebased texture mapping is useful for objects defined from volume datasets. The paper makes three main contributions. First, it introduces the combination of the image-based two-part texture mapping and projective space texture mapping for volume objects. Second, it presents a multi-resolution technique to overcome problems with projecting at glancing angles and to eliminate artifacts due to the resolution limitations. Third, it presents the pixel-level data-dependent interpolation technique in projective image warping. The proposed approach leads to superior quality of texture and thus provides an optional solution for texturing volume objects.The results show the effectiveness and quality of rendered images.
  • Item
    Multi-View Image Coding with Wavelet Lifting Scheme
    (The Eurographics Association, 2005) Anantrasirichai, N.; Canagarajah, C. Nishan; Bull, David R.; Mike Chantler
    In this paper, we present a novel multi-view image codec based on a wavelet lifting scheme. The proposed algorithm applies the disparity estimation and compensation with the lifting scheme. It is very efficient in terms of compressions performance, memory requirements and fast computation. To get the highest multiview image coding efficiencies, two hybrid predictions are proposed; one for effective compression performance and one for compromising when more exact disparity values are required. Moreover, an adaptive weighing in update step and overlapped block disparity compensation are included to yield significant improvements in rate distortion performance. Experimental results show image quality gains of up to 2 dB and 1 dB against using well established methods such as the block-matching Haar and 5/3 wavelet lifting respectively.
  • Item
    Advances in Shadow Removing for Motion Detection Algorithms
    (The Eurographics Association, 2005) Spagnolo, P.; D'Orazio, T.; Leo, M.; Distante, A.; Mike Chantler
    Detecting moving objects is very important in many application contexts such as people detection and recognition, visual surveillance, automatic generation of video effects, and so on. Motion detection algorithms are very sensible to light conditions; in particular they suffer the presence of shadows and sudden changes due to light switches. Here we propose an additional module that can be applied to a generic gray-level motion detection algorithm. The only requirement is the presence of a reference image (background model). The main idea of the proposed approach is that variations in light conditions alter the intensity values of pixels in the image, but the basic structures in the scene remain unchanged. The algorithm we propose is based on the correlation between regions selected from the reference image and the current one. The experiments have been performed on image sequences acquired both in indoor and outdoor environments with natural and artificial lights.
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    3D Image Analysis and Synthesis at MPI Informatik
    (The Eurographics Association, 2005) Theobalt, Christian; Magnor, Marcus A.; Seidel, Hans-Peter; Mike Chantler
    In the talk, we give a brief overview of the research done in the Computer Graphics Group and the Graphics- Optics-Vision Group of the Max-Planck-Institut für Informatik in the area of 3D Image Analysis and Synthesis. In this context, we address the whole pipeline ranging from the acquisition of computational scene models, over the algorithmic processing of these scene descriptions, to their photo-realistic rendition in the computer. This paper illustrates the questions that we are trying to answer by means of one of our research projects, video-based rendering. We have developed a model-based system to acquire, reconstruct and render free-viewpoint videos of human actors that nicely illustrates the concept of 3D Image Analysis and Synthesis.
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    Modeling Falling and Accumulating Snow
    (The Eurographics Association, 2005) Moeslund, T. B.; Madsen, C. B.; Aagaard, M.; Lerche, D.; Mike Chantler
    The use of computer graphics to produce special effects is currently being applied with great results in especially the entertainment and game industry. One area where computer graphics is not quite ready to replace all real effects is natural phenomena where a lack of general models exists. In this work we present a general model for falling and accumulating snow. The appearance and movement of falling snow are modeled in 3D based on the physics governing the real processes. The same goes for the accumulated snow where especially a correctly modeled wind field is important for producing realistically looking results. Intuitive weather parameters are used to control both models. The results show that both the appearance and movement of the snow, as well as the accumulated snow are very similar to real snow.
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    On the Separation of Luminance from Colour in Images
    (The Eurographics Association, 2005) Woodland, Alan; Labrosse, Frédéric; Mike Chantler
    Many computer vision and graphics related techniques rely upon illumination invariance of images to derive meaning from images of an object under varying lighting conditions. This is all the appearance-based methods. In practice however this assumption does not hold if one is not careful with either controlling the illumination of the object when capturing its appearance or with some post-processing of the images. This paper presents results of experiments designed to analyse the usefulness for illumination invariance of two colour models, CIE L*a*b* and YUV, that have been designed to provide separation of the luminance information from the colour information, and compare them with more traditional colour models, RGB and HSV. This is done by evaluating the variations in each of the components of the different colour spaces in real images taken in variable illumination conditions. We also present a simple application example.
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    Different Medical Modelling Strategies in a Single Collaborative Immersive Virtual Environment
    (The Eurographics Association, 2005) Al-khalifah, A.; McCrindle, R.; Alexandrov, V.; Mike Chantler
    Visualisation and simulation systems are becoming increasingly popular nowadays in medical planning and training. These tools are built using various technologies, such as computer graphics, Virtual Reality, and three dimensional (3D) modelling. The latter is an important element to these systems, because it governs how models are represented and how they can be manipulated. In this paper, we investigate the use of various 3D modelling techniques in a virtual immersive collaborative environment. We highlight the merits and limitations of these techniques, explain how they can be used in a virtual medical context, and demonstrate a practical application.
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    Rigorous Computing in Computer Vision
    (The Eurographics Association, 2005) Farenzena, Michela; Fusiello, Andrea; Mike Chantler
    In this paper we discuss how Interval Analysis can be used to solve some problems in Computer Vision, namely autocalibration and triangulation. The crucial property of Interval Analysis is its ability to rigorously bound the range of a function over a given domain. This allows to propagate input errors with guaranteed results (used in multi-views triangulation) and to search for solution in non-linear minimisation problems with provably correct branch-and-bound algorithms (used in autocalibration). Experiments with real calibrated images illustrate the interval approach.
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    Depth Enhanced Panoramas
    (The Eurographics Association, 2005) Bahmutov, Gleb; Popescu, Voicu; Mudure, Mihai; Sacks, Elisha; Mike Chantler
    Depth enhanced panoramas are a practical solution to the difficult problem of inside-looking-out modeling. Depth enhanced panoramas extend color panoramas to support viewpoint translation, while retaining their speed, convenience, and low cost. Depth enhanced panoramas are built incrementally from same-center-of-projection dense-color and sparse-depth frames that are acquired, registered, and merged at the rate of 5 frames per second. The evolving depth enhanced panorama is rendered continually to provide immediate operator feedback. The viewpoint translation range is increased by combining multiple depth enhanced panoramas in real time. Depth enhanced panoramas are combined using either a splat-based, disconnected representation, or, at pixel level, using a GPU fragment program. Depth enhanced panoramas are built in minutes with $3,000 hardware and support photorealistic rendering of complex room-sized environments.
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    SVD-Matching using SIFT Features
    (The Eurographics Association, 2005) Delponte, Elisabetta; Isgrò, Francesco; Odone, Francesca; Verri, Alessandro; Mike Chantler
    The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. Among the many possible applications of feature matching we are motivated for helping in the initialisation of a 3D registration procedure. The method we discuss here is a version of the SVD matching proposed by Pilu, modified in order to cope with large scale variations. We detail the algorithm and present experimental evidence of the improvement in performance. The main contribution of this work is in showing that this compact and easy algorithm can be used for large-baseline matching.
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    Visual Recognition of Man-made Materials and Structures in an Office Environment
    (The Eurographics Association, 2005) Song, Y. Z.; Town, C. P.; Mike Chantler
    This paper demonstrates a new approach towards object recognition founded on the development of Neural Network classifiers and Bayesian Networks. The mapping from segmented image region descriptors to semantically meaningful class membership terms is achieved using Neural Networks. Bayesian Networks are then employed to probabilistically detect objects within an image by means of relating region class labels and their surrounding environments. Furthermore, it makes use of an intermediate level of image representation and demonstrates how object recognition can be achieved in this way.
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    A New Framework for Trademark Retrieval Based on Size Functions
    (The Eurographics Association, 2005) Cerri, A.; Ferri, M.; Giorgi, D.; Mike Chantler
    We propose a new, effective system for Content Based trademark retrieval, which involves Size Functions. Three different classes of shape descriptors are combined, for a total amount of 25 measuring functions. The evaluation has been performed on a database of 1182 trademark images, provided by the UK Patent Office.
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    Sensitivity Analysis in Image Synthesis
    (The Eurographics Association, 2005) Trujillo, M.; Izquierdo, E.; Mike Chantler
    Intermediate virtual images are used in the evaluation of disparity estimations. The analysis is based on the effect of disparity inaccuracies in the relative quality of virtual images. The peak-signal-to-noise ratio and the percentage of visual errors are used to assess the quality of virtual images generated with distorted disparity fields. Computer simulation results show that the peak-signal-to-noise ratio is more affected by a small magnitude of perturbations two or three pixels than by a high frequency of perturbations 15% or 20%. However, the percentage of visual errors is more affected by the frequency of perturbations. By using distorted disparity fields, the deterioration in the quality of virtual images is imperceptible to the human eye.
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    Correspondenceless Stereo for 3-D Iris Location
    (The Eurographics Association, 2005) Anderson, Tom; Trucco, Emanuele; Razeto, Marco; Mike Chantler
    We present a correspondenceless stereo system locating the circular contour of an iris (limbus) in space, and therefore its 3-D plane. We avoid correspondence search completely by intersecting a bundle of conjugate epipolar lines with the elliptical images of the limbus in the stereo pair of images, which gives correspondences directly. The ellipses are located by active ellipse fitting. An efficient simulated annealing implementation achieves reliable iris location with uncontrolled illumination and eye or head movements. Tests with ground-truthed 3-D setups as well as real eye images indicate very good accuracy.
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    Talking Faces - Technologies and Applications
    (The Eurographics Association, 2005) Ostermann, Jörn; Weissenfeld, Axel; Liu, Kang; Mike Chantler
    Facial animation has been combined with text-to-speech synthesis to create innovative multimodal interfaces. In this lecture, we present the technology and architecture in order to use this multimodal interface in an web-based environment to support education, entertainment and e-commerce applications. Modern text to speech synthesizers using concatenative speech synthesis are able to generate high quality speech. Face animation uses the phoneme and timing information provided by such a speech synthesizer in order to animate the mouth. There are 2 basic technologies that are used to render talking faces: 3D face models as described in MPEG-4 may be used to provide the impression of a talking cartoon or human-like character. Sample-based face models generated from recorded video enable the synthesis of a talking head that cannot be distinguished from a real person. Depending on the chosen face animation technology and latency requirements, different architectures for delivering the talking head over the Internet are required for interactive applications. Keywords: Face animation, visual speech
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    Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain
    (The Eurographics Association, 2005) Xu, Ruifeng; Pattanaik, Sumanta N.; Mike Chantler
    A novel post-processing approach for removing Monte Carlo noises in synthetic images is presented in this paper. This paper first presents our findings on the statistical characteristics of the Monte Carlo noise, and then proposes a Bayesian method to remove this noise. The aim of this approach is to efficiently produce high quality synthetic images using Monte Carlo based rendering at low sampling rates.
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    Adaptive Grid Optical Tomography
    (The Eurographics Association, 2005) Ihrke, Ivo; Magnor, Marcus; Mike Chantler
    Image-based modeling of semi-transparent, dynamic phenomena is a challenging task. We present an optical tomography method that uses an adaptive grid for the reconstruction of a three-dimensional density function from its projections. The proposed method is applied to reconstruct thin smoke and flames volumetrically from synchronized multi-video recordings. Our adaptive reconstruction algorithm computes a time-varying volumetric model, that enables the photorealistical rendering of the recorded phenomena from arbitrary viewpoints. In contrast to previous approaches we sample the underlying unknown, three-dimensional density function adaptively which enables us to achieve a higher effective resolution of the reconstructed models.
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    Motion Analysis in Video: Dolls, Dynamic Cues and Modern Art
    (The Eurographics Association, 2005) Collomosse, J. P.; Hall, P. M.; Mike Chantler
    This paper addresses the problem of synthesising animations from video clips; in particular emphasising the motion of tracked objects. We introduce "dynamic cues" as a class of motion emphasis cue, encompassing traditional animation techniques such as anticipation and exaggeration. We present methods for automatically synthesising such cues within video premised upon the recovery of articulated figures, and the subsequent manipulation of the recovered pose trajectories. Additionally, we apply our motion emphasis framework to emulate artwork in the Futurist style, popularised by Duchamp.
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    Use of Computer Vision/ Computer Graphics Collaboration for 3D Rotoscopy
    (The Eurographics Association, 2005) Gagalowicz, André; Mike Chantler
    This talk introduces 3D rotoscopy and its role in post-production applications, and the computer vision/computer graphics strategies used. The case of rigid objects is presented first, for which well-established approaches can be used. The case of articulated objects is considered next, with special attention to the case of a full human body tracking (ignoring significant shape deformations introduced by baggy clothes). Results related to the tracking of professional golfers and face tracking, a challenging case of deformable objects, will be presented. The talk will be concluded by a presentation of further, possible applications of research done at the MIRAGES laboratory at INRIA Rocquencourt.
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    Bitvectors for Robust Hierarchical Template Matching
    (The Eurographics Association, 2005) Tweed, David; Mike Chantler
    Many target detection problems involve objects where the primary variability in appearance is due to changes amongst characteristic configurations (as opposed to the systematic variability of object rotation or illumination changes). It is then important to utilise as much of the correlation between features as possible. Detecting pedestrians is such a problem and was tackled by Gavrila [Gav98] using a large set of exemplar templates combined with hierarchical matching via Distance Transforms. We describe a variant using a robust distance function and explicit allowance for occlusions. Our innovation is using bitwise logical operators to test against multiple exemplars in parallel.
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    Regularised Anisotropic Nonlinear Diffusion for Rendering Refraction in Volume Graphics
    (The Eurographics Association, 2005) Rodgman, David; Chen, Min; Mike Chantler
    Rendering refraction in volume graphics requires smoothly distributed normals to synthesise good quality visual representations. Such refractive visualisation is more susceptible to noise in the data than visualisations that do not involve refraction. In this paper, we addresses the need for improving the continuity of voxel gradients in discretely sampled volume datasets using nonlinear diffusion methods, which was originally developed for image denoising. We consider the necessity for minimising unnecessary geometrical distortion, detail the functional specification of a volumetric filter for regularised anisotropic nonlinear diffusion (R-ANLD), discuss the further improvements of the filter, and compare the efficacy of the filter with an anisotropic nonlinear diffusion (ANLD) filter as well as a Gaussian filter and a linear diffusion filter. Our results indicate that it is possible to make significant improvements in image quality in refractive rendering without excessive distortion.
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    Merging Graphics and Vision for 3D Face Recognition
    (The Eurographics Association, 2005) Bai, Li; Song, Yi; Mike Chantler
    This paper presents a new approach to automatic 3D face modelling from unstructured point cloud data. An efficient B-Spline surface-fitting algorithm is used to obtain an initial parametric surface for each face point cloud data set. Knot vectors for each individual face surface are then standardised to produce a set of uniform knot vectors so that all the surfaces can be seen as fitted with the same set of knot vectors. Mapping from object space to shape space can then be established so that each 3D face can be described by a small number of shape descriptors. The use of shape descriptors allows automatic registration between face models. More importantly, it allows dynamic facial variation to be modelled and analysed via 3D warping, resulting in a powerful approach to quantifying the differences among individuals required for face recognition. 3D warping is often used in simulations in computer graphics. This paper explains, for the first time, how 3D warping can be exploited for face recognition based on multi-resolution analysis of warping fields. The methodology allows the quantitative study of variation in characteristics previously only described from a qualitative perspective.
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    Realistic Real-Time Hair Simulation and Rendering
    (The Eurographics Association, 2005) Jung, Yvonne; Rettig, Alexander; Klar, Oliver; Lehr, Timo; Mike Chantler
    We present a method for realistic rendering and simulation of human hair in real-time, which is suitable for the use in complex virtual reality applications. Neighbouring hairs are combined into wisps and animated with our cantilever beam based simulation system, which runs numerically stable and with interactive update rates. The rendering algorithm utilizes latest graphics hardware features and can even handle light coloured hair by including anisotropic reflection and internal transmission.
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    Image classification using compression distance
    (The Eurographics Association, 2005) Lan, Yuxuan; Harvey, Richard; Mike Chantler
    The normalised compression distance measures the mutual compressibility of two signals. We show that this distance can be used for classification on real images. Furthermore, the same compressor can also operate on derived features with no further modification. We consider derived features consisting of trees indicating the containment and relative area of connected sets within the image. It had been previously postulated that such trees might be useful features, but they are too complicated for conventional classifiers. The new classifier operating on these trees produces results that are very similar to those obtained on the raw images thus allowing, for the first time, classification using the full trees.
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    Natural Image Matting
    (The Eurographics Association, 2005) Hillman, Peter M.; Hannah, John M.; Mike Chantler
    Matte pulling - generating greyscale images which indicate segmentation of images into elements with subpixel accuracy and where blur causes pixels to be a mixture of elements - has received attention in recent years. Many of the algorithms are too slow or too unpredictable to be of practical use in motion picture Post-production. Assessing the performance of different algorithms is also a complex task. This paper presents an optimisation which can be applied to many algorithms in order to allow them to run at interactive speeds, introduces a new algorithm based on Colour Lines, and presents a technique which can be used as a formal test-bench to measure the performance of matte algorithms.
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    Linear Hashtable Method and Predicted Hexagonal Search Algorithm with Moments Invariant
    (The Eurographics Association, 2005) Wu, Yunsong; Megson, Graham; Nie, Zhengang; Liu, Xuan; Mike Chantler
    This paper presents a novel Linear Hashtable Method Predicted Hexagonal Search (LHMPHS) method for block base motion compensation on the basis of research from previous algorithm. Hashtable is used in video compression. Motion vectors produced by Linear Hashtable Motion Estimation Algorithm (LHMEA) are used as predictors for HEXBS. Moments invariants are also tested in hashtable to prove the more information moments have, the better it is. Experimental results show that the proposed algorithm can offer the same compression rate as the Full Search and fastest than all investigated algorithms, while the PSNR is high. LHMPHS has significant improvement on HEXBS and shows a direction for improving other fast motion estimation algorithms.
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    Automatic Non-Photorealistic Rendering through Soft-Shading Removal: A Colour-Vision Approach
    (The Eurographics Association, 2005) Olmos, A.; Kingdom, F. A. A.; Mike Chantler
    This paper presents a non-photorealistic rendering algorithm that produces "stylised-style" images by removing the soft shading from the image and by giving objects extra definition through black outlines. The method of shading removal is based on a model of the architecture of the human colour vision system. Some image results are provided and the possible extension of the algorithm using a back-propagation neural network is discussed.
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    A Model-Based Approach to Image Relighting with a Potential for Real-Time Implementation
    (The Eurographics Association, 2005) Madsen, Claus B.; Laursen, Rune; Mike Chantler
    Image relighting is a very unique special visual effect which promises to have many important practical applications. Image relighting is essentially the process of, given one or more images of some scene, computing what that scene would look like under some other (arbitrary) lighting conditions, e.g., changing positions and colors of light sources. Image relighting can for example be used for interior light design. This paper describes an approach to image relighting which can be implemented to run in real-time by utilizing graphics hardware, as opposed to other state-of-the-art approaches which at best run at a few frames per second.