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» Illumination and Camera Invariant Stereo Matching
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CVPR
2008
IEEE
14 years 9 months ago
Illumination and Camera Invariant Stereo Matching
Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various g...
Yong Seok Heo (Seoul National University), Kyoung ...
CVPR
2005
IEEE
13 years 6 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 ...
ICCV
2007
IEEE
14 years 6 months ago
Illumination and Affine- Invariant Point Matching using an Ordinal Approach
We present an approach for illumination and affineinvariant point matching using ordinal features. Ordinal measures for matching only consider the order between pixels and not the...
Raj Gupta, Anurag Mittal
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
13 years 10 months ago
Robust Contrast Invariant Stereo Correspondence
— A stereo pair of cameras attached to a robot will inevitably yield images with different contrast. Even if we assume that the camera hardware is identical, due to slightly diff...
Abhijit S. Ogale, Yiannis Aloimonos
CVPR
2009
IEEE
1378views Computer Vision» more  CVPR 2009»
14 years 10 months ago
A Novel Feature Descriptor Invariant to Complex Brightness Changes
We describe a novel and robust feature descriptor called ordinal spatial intensity distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many t...
Feng Tang, Suk Hwan Lim, Nelson L. Chang, Hai Tao