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» Markerless Motion Capture from Monocular Videos
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CVPR
2004
IEEE
14 years 11 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
SIGGRAPH
2010
ACM
14 years 1 months ago
Unstructured video-based rendering: interactive exploration of casually captured videos
We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...
ICIP
2005
IEEE
14 years 10 months ago
Flow lookup and biological motion perception
Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a ...
Nicholas R. Howe
VMV
2004
171views Visualization» more  VMV 2004»
13 years 10 months ago
Cloth Motion from Optical Flow
This paper presents an algorithm for capturing the motion of deformable surfaces, in particular textured cloth. In a calibrated multi-camera setup, the optical flow between consec...
Volker Scholz, Marcus A. Magnor
NIPS
2008
13 years 10 months ago
Nonrigid Structure from Motion in Trajectory Space
Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to be estima...
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kana...