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» Using stereo for object recognition
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CVPR
1998
IEEE
14 years 10 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
CVPR
2003
IEEE
14 years 10 months ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz
ICIP
1998
IEEE
14 years 10 months ago
Multi-Image Matching for a General Motion Stereo Camera Model
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
Ja Seong Ku, Kyoung Mu Lee, Sang Uk Lee
ICIP
2001
IEEE
14 years 10 months ago
A face and gesture recognition system based on an active stereo sensor
The paper presents several novel 3D image analysis algorithms, applied towards the segmentation and modeling of faces and hands. These are subsequently used to build a face-based ...
Sotiris Malassiotis, Filareti Tsalakanidou, Nikola...
ICCV
2007
IEEE
14 years 10 months ago
Shape from Varying Illumination and Viewpoint
We address the problem of reconstructing the 3-D shape of a Lambertian surface from multiple images acquired as an object rotates under distant and possibly varying illumination. ...
Neel Joshi, David J. Kriegman