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» Learning Depth from Stereo
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ICIP
2008
IEEE
14 years 9 months ago
Real-time Light Fall-off Stereo
We present a real-time depth recovery system using Light Fall-off Stereo (LFS). Our system contains two co-axial point light sources (LEDs) synchronized with a video camera. The v...
Miao Liao, Liang Wang, Ruigang Yang, Minglun Gong
CVPR
2003
IEEE
14 years 9 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
CVPR
2012
IEEE
11 years 10 months ago
Depth from optical turbulence
Turbulence near hot surfaces such as desert terrains and roads during the summer, causes shimmering, distortion and blurring in images. While recent works have focused on image re...
Yuandong Tian, Srinivasa G. Narasimhan, Alan J. Va...
CVPR
2003
IEEE
14 years 28 days ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao
ICCV
2009
IEEE
13 years 5 months ago
Semi-automatic stereo extraction from video footage
We present a semi-automatic system that converts conventional video shots to stereoscopic video pairs. The system requires just a few user-scribbles in a sparse set of frames. The...
Moshe Guttmann, Lior Wolf, Daniel Cohen-Or