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» Learning Two-View Stereo Matching
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ECCV
2008
Springer
14 years 8 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...
CVPR
2005
IEEE
13 years 8 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
TIP
2011
255views more  TIP 2011»
13 years 1 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
ICIP
2010
IEEE
13 years 4 months ago
Discarding moving objects in quasi-simultaneous stereovision
This paper proposes a statistical rejection rule, designed for small baseline stereo satellites. The method learns an a contrario model for image blocks and discards the casual ma...
Neus Sabater, Jean-Michel Morel, Andrés Alm...
ICIP
2004
IEEE
14 years 7 months ago
Uncalibrated stereo rectification for automatic 3d surveillance
We describe a stereo rectification method suitable for automatic 3D surveillance. We take advantage of the fact that in a typical urban scene, there is ordinarily a small number o...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...