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ICCV
2009
IEEE
1191views Computer Vision» more  ICCV 2009»
16 years 8 months ago
3D Open-Surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...
Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangron...
CVPR
2006
IEEE
16 years 5 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
CVPR
2006
IEEE
16 years 5 months ago
Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences
We propose a novel method for tracking an articulated model in a 3D-point cloud. The tracking problem is formulated as the registration of two point sets, one of them parameterise...
Julius Ziegler, Kai Nickel, Rainer Stiefelhagen
CVPR
2007
IEEE
16 years 5 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
CVPR
2008
IEEE
16 years 5 months ago
Markerless motion capture of man-machine interaction
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear come...
Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, J...