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» 3D occlusion recovery using few cameras
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CVPR
2006
IEEE
14 years 1 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICMCS
1999
IEEE
164views Multimedia» more  ICMCS 1999»
13 years 12 months ago
A Semi-Automatic System to Infer Complex 3-D Shapes from Photographs
We present a semi-automatic image-based modeling system to make 3-D models from photographs. The human operator intervenes only for simple and straightforward tasks. The design of...
Qian Chen, Gérard G. Medioni
ICIP
2008
IEEE
14 years 9 months ago
2D/3D freeview video generation for 3DTV system
In this paper, we present a new method of synthesizing novel views from the virtual cameras in multiview camera configurations for 3DTV system. We introduce a semi N-view & N-...
Dong Bo Min, Donghyun Kim, Kwanghoon Sohn
CVPR
2007
IEEE
14 years 9 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...
ICCV
2007
IEEE
14 years 9 months ago
Synthetic Aperture Tracking: Tracking through Occlusions
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...