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» Learning Depth from Stereo
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ICCV
1999
IEEE
13 years 12 months ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
ICMCS
2009
IEEE
218views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Multi-view reconstruction under varying illumination conditions
This paper addresses the problem of complete and detailed 3D model reconstruction of objects filmed by multiple cameras under varying illumination. Firstly, initial normal maps ar...
Chenglei Wu, Yebin Liu, Xiangyang Ji, Qionghai Dai
MVA
1990
131views Computer Vision» more  MVA 1990»
13 years 8 months ago
Recognition and Relocation of 3-Dimensional Objects Using Stereo Robot Vision System
An important task in sterco robot vision is to determine the three-dimcnsional locations of objects. The real location of an object is determined from the disparity of matched pin...
Kyoung Mihn Do, Chee-Woo Kang, Kwae-Hi Lee
IVC
2008
101views more  IVC 2008»
13 years 7 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
3DPVT
2004
IEEE
159views Visualization» more  3DPVT 2004»
13 years 11 months ago
Dense Multiple View Stereo with General Camera Placement using Tensor Voting
We present a computational framework for the inference of dense descriptions from multiple view stereo with general camera placement. Thus far research on dense multiple view ster...
Philippos Mordohai, Gérard G. Medioni