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» Learning Depth from Stereo
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CVPR
2008
IEEE
14 years 9 months ago
Variable baseline/resolution stereo
We present a novel multi-baseline, multi-resolution stereo method, which varies the baseline and resolution proportionally to depth to obtain a reconstruction in which the depth e...
David Gallup, Jan-Michael Frahm, Philippos Mordoha...
CVPR
1996
IEEE
13 years 11 months ago
Stereo Vision for View Synthesis
We propose a new method for view synthesis from real images using stereo vision. The method does not explicitly model scene geometry, and enables fast and exact generation of synt...
Daniel Scharstein
CVPR
2009
IEEE
1131views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Continuous Depth Estimation for Multi-view Stereo
Depth-map merging approaches have become more and more popular in multi-view stereo (MVS) because of their flexibility and superior performance. The quality of depth map used fo...
Yebin Liu (Tsinghua University), Xun Cao (Tsinghu...
ICIP
2001
IEEE
14 years 9 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville
PAMI
2006
111views more  PAMI 2006»
13 years 7 months ago
Stereo Matching with Linear Superposition of Layers
In this paper, we address stereo matching in the presence of a class of non-Lambertian effects, where image formation can be modeled as the additive superposition of layers at diff...
Yanghai Tsin, Sing Bing Kang, Richard Szeliski