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» Shape Similarity for 3D Video Sequences of People
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125
Voted
CVPR
2007
IEEE
15 years 4 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
114
Voted
ICCV
2003
IEEE
16 years 2 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
109
Voted
CVPR
2007
IEEE
16 years 2 months ago
Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
We combine detection and tracking techniques to achieve robust 3?D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on d...
Andrea Fossati, Miodrag Dimitrijevic, Vincent Lepe...
111
Voted
ICIP
2003
IEEE
15 years 6 months ago
Monocular 3D human body reconstruction towards depth augmentation of television sequences
This paper addresses the reconstruction of 3 0 human body models fram Z D video sequences. Considering that the input frames are already segmented, the proposed technique consists...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
112
Voted
ICPR
2008
IEEE
16 years 2 months ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann