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ICCV
2003
IEEE
15 years 1 months ago
Binocular Helmholtz Stereopsis
Todd Zickler, Jeffrey Ho, David J. Kriegman, Jean ...
ICCV
2003
IEEE
15 years 1 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
ICCV
2003
IEEE
15 years 1 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
ICCV
2003
IEEE
15 years 1 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
ICCV
2003
IEEE
15 years 1 months ago
A Background Layer Model for Object Tracking Through Occlusion
Motion layer estimation has recently emerged as a promising object tracking method. In this paper, we extend previous research on layer-based tracker by introducing the concept of...
Yue Zhou, Hai Tao
ICCV
2003
IEEE
15 years 1 months ago
Boosting Chain Learning for Object Detection
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
Rong Xiao, Long Zhu, HongJiang Zhang
ICCV
2003
IEEE
15 years 1 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICCV
2003
IEEE
15 years 1 months ago
Two-Frame Wide Baseline Matching
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Jiangjian Xiao, Mubarak Shah
ICCV
2003
IEEE
15 years 1 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
ICCV
2003
IEEE
15 years 1 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...