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CGF
2008

Articulated Object Reconstruction and Markerless Motion Capture from Depth Video

9 years 8 days ago
Articulated Object Reconstruction and Markerless Motion Capture from Depth Video
We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks the rigid components in each frame, while accumulating the geometric information acquired over time, possibly from different viewpoints. The algorithm also reconstructs the dynamic skeleton of the object, thus can be used for markerless motion capture. The acquired model can then be animated to novel poses. We show the results of the algorithm applied to synthetic and real depth video. Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism
Yuri Pekelny, Craig Gotsman
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CGF
Authors Yuri Pekelny, Craig Gotsman
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