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» Global Illumination via Density Estimation
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CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ICPR
2010
IEEE
13 years 10 months ago
Multiple-Shot Person Re-Identification by HPE Signature
Abstract--In this paper, we propose a novel appearancebased method for person re-identification, that condenses a set of frames of the same individual into a highly informative sig...
Loris Bazzani, Marco Cristani, Alessandro Perina, ...
CVPR
2009
IEEE
15 years 2 months ago
Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
ICCV
2007
IEEE
14 years 9 months ago
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans
An interactive human segmentation approach is described. Given regions of interest provided by users, the approach iteratively estimates segmentation via a generalized EM algorith...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
SIGGRAPH
1992
ACM
13 years 11 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance