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» Computing Visual Attention from Scene Depth
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111
Voted
VIP
2003
15 years 1 months ago
3D Reconstruction of a Human Face with Monocular Camera Based on Head Movement
Constructing three-dimensional model from two-dimensional images is an old problem in the area of computer vision. There are many publications and our approach is specifically des...
Ben Yip, Jesse S. Jin
114
Voted
CRV
2007
IEEE
145views Robotics» more  CRV 2007»
15 years 7 months ago
Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes?
When an observer moves in a 3D static scene, the motion field depends on the depth of the visible objects and on the observer’s instantaneous translation and rotation. By compu...
Vincent Chapdelaine-Couture, Michael S. Langer
126
Voted
CVPR
2012
IEEE
13 years 3 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
CVPR
2012
IEEE
13 years 3 months ago
Context aware topic model for scene recognition
We present a discriminative latent topic model for scene recognition. The capacity of our model is originated from the modeling of two types of visual contexts, i.e., the category...
Zhenxing Niu, Gang Hua, Xinbo Gao, Qi Tian
96
Voted
IVC
2008
106views more  IVC 2008»
15 years 17 days ago
Attention links sensing to recognition
This paper presents arguments that explicit strategies for visual attentional selection are important for cognitive vision systems, and shows that a number of proposals currently ...
Albert L. Rothenstein, John K. Tsotsos