Towards Symmetry Axis based Markerless Motion Capture

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dc.contributor.authorHartmann, Philipen_US
dc.contributor.authorKahn, Svenjaen_US
dc.contributor.authorBockholt, Ulrichen_US
dc.contributor.authorKuijper, Arjanen_US
dc.contributor.editorJan Bender and Kenny Erleben and Eric Galinen_US
dc.date.accessioned2013-10-31T10:42:46Z
dc.date.available2013-10-31T10:42:46Z
dc.date.issued2011en_US
dc.description.abstractA natural interaction with virtual environments is one of the key issues for the usability of Virtual Reality applications. Device-free, intuitive interactions with the virtual world can be achieved by capturing the movements of the user with markerless motion capture. In this work we present a markerless motion capture approach which can be used to estimate the human body pose in real-time with a single depth camera. The presented approach requires neither a 3D shape model of the tracked person nor a training phase in which body shapes are learned a priori. Instead, it analyzes the curvature of the human body to estimate the symmetry axes of the body joints. These symmetry axes are then used to calculate the pose of the tracked human in real-time. The presented approach was evaluated qualitatively with a time-of-flight and a Kinect depth camera. Furthermore, quantitative simulation results show that the proposed approach is promising for depth cameras which can reliably capture the surface curvature (and thus the normals) of a person and which have a resolution of at least 320x240 pixel.en_US
dc.description.seriesinformationWorkshop in Virtual Reality Interactions and Physical Simulation "VRIPHYS" (2011)en_US
dc.identifier.isbn978-3-905673-87-6en_US
dc.identifier.urihttps://doi.org/10.2312/PE/vriphys/vriphys11/073-082en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism Virtual Reality H.5.2 [Computer Graphics]: User Interfaces Input devices and strategies I.4.8 [Computer Graphics]: Scene Analysis Motion, Range Data, Tracking I.2.10 [Artificial Intelligence]: Vision and Scene Understanding Motion,Video Analysisen_US
dc.titleTowards Symmetry Axis based Markerless Motion Captureen_US
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