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» Using stereo for object recognition
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CVPR
2012
IEEE
11 years 11 months ago
Leveraging stereopsis for saliency analysis
Stereopsis provides an additional depth cue and plays an important role in the human vision system. This paper explores stereopsis for saliency analysis and presents two approache...
Yuzhen Niu, Yujie Geng, Xueqing Li, Feng Liu
ISVC
2007
Springer
14 years 2 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly

Book
5396views
15 years 7 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICCV
2001
IEEE
14 years 10 months ago
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera
We present a new on-line scheme for the recognition and pose estimation of a large isolated 3-D object, which may not entirely fit in a camera's field of view. We do not assu...
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis B...