Computer Graphics & Visual Computing (CGVC) 2016
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Browsing Computer Graphics & Visual Computing (CGVC) 2016 by Subject "Applications"
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Item Collaborative Computational Projects - Visualisation Applications Survey(The Eurographics Association, 2016) Turner, Martin J.; Fowler, Ron; Morris, Tim; Cagatay Turkay and Tao Ruan WanThis extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; in order to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of these surveys and this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.Item Fire and Gas Detection Mapping using Volumetric Rendering(The Eurographics Association, 2016) Cotterill, Cameron; Davison, Tyrone; O'Connor, Simon J.; Orr, David; Charles, Fred; Tang, Wen; Cagatay Turkay and Tao Ruan WanThe software presented here provides an interactive real-time tool for the simulation of fire and gas detection mapping using volumetric rendering based on the layouts of fire and gas detectors within 3D virtual environments.Item Using Semi-automatic 3D Scene Reconstruction to Create a Digital Medieval Charnel Chapel(The Eurographics Association, 2016) Shui, Wuyang; Maddock, Steve; Heywood, Peter; Craig-Atkins, Elizabeth; Crangle, Jennifer; Hadley, Dawn; Scott, Rab; Cagatay Turkay and Tao Ruan WanThe use of a terrestrial laser scanner (TLS) has become a popular technique for the acquisition of 3D scenes in the fields of cultural heritage and archaeology. In this study, a semi-automatic reconstruction technique is presented to convert the point clouds that are produced, which often contain noise or are missing data, into a set of triangle meshes. The technique is applied to the reconstruction of a medieval charnel chapel. To reduce the computational complexity of reconstruction, the point cloud is first segmented into several components guided by the geometric structure of the scene. Landmarks are interactively marked on the point cloud and multiple cutting planes are created using the least squares method. Then, sampled point clouds for each component are meshed by ball-pivoting. In order to fill the large missing regions on the walls and ground plane, inserted triangle meshes are calculated on the basis of the convex hull of the projection points on the bounding plane. The iterative closest point (ICP) approach and local non-rigid registration methods are used to make the inserted triangle meshes and original model tightly match. Using these methods, we have reconstructed a digital model of the medieval charnel chapel, which not only serves to preserve a digital record of it, but also enables members of t he public to experience the space virtually.