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CVPR
2004
IEEE
16 years 4 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
CVPR
2004
IEEE
16 years 4 months ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...
ICCV
2007
IEEE
16 years 4 months ago
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images
In this paper, we present a new method for segmenting closed contours and surfaces. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the des...
Fethallah Benmansour, Stephane Bonneau, Laurent D....
ICCV
2003
IEEE
16 years 4 months ago
Image Registration with Global and Local Luminance Alignment
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
Jiaya Jia, Chi-Keung Tang
ECCV
2008
Springer
16 years 4 months ago
Shadows in Three-Source Photometric Stereo
Shadows are one of the most significant difficulties of the photometric stereo method. When four or more images are available, local surface orientation is overdetermined and the s...
Carlos Hernández, George Vogiatzis, Roberto...