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» Learning Depth from Stereo
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ICCV
2007
IEEE
16 years 7 months ago
Learning priors for calibrating families of stereo cameras
Online camera recalibration is necessary for long-term deployment of computer vision systems. Existing algorithms assume that the source of recalibration information is a set of f...
Andrew W. Fitzgibbon, Duncan P. Robertson, Antonio...
ECCV
2008
Springer
16 years 7 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
VR
2000
IEEE
131views Virtual Reality» more  VR 2000»
15 years 10 months ago
Enhancing Fish Tank VR
Fish tank VR systems provide head coupled perspective projected stereo images on a display device of limited dimensions that resides at a fixed location. Therefore, fish tank VR...
Jurriaan D. Mulder, Robert van Liere
SIGGRAPH
1996
ACM
15 years 10 months ago
Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach
We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
Paul E. Debevec, Camillo J. Taylor, Jitendra Malik
ICCV
2007
IEEE
16 years 7 months ago
Recovering Occlusion Boundaries from a Single Image
Occlusion reasoning, necessary for tasks such as navigation and object search, is an important aspect of everyday life and a fundamental problem in computer vision. We believe tha...
Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Mar...