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» Graph-Theoretical Methods in Computer Vision
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115
Voted
ICCV
2009
IEEE
16 years 7 months ago
Multimodal Partial Estimates Fusion
Fusing partial estimates is a critical and common problem in many computer vision tasks such as part-based detection and tracking. It generally becomes complicated and intractab...
Jiang Xu, Junsong Yuan, YingWu
ICCV
2009
IEEE
16 years 7 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...
131
Voted
CVPR
2004
IEEE
16 years 4 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
CVPR
2010
IEEE
15 years 10 months ago
Scene Classification and Detection with a Quasi-exhausitve Dataset
Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which...
Jianxiong Xiao, James Hays, Krista Ehinger, Antoni...
135
Voted
ICCV
1995
IEEE
15 years 6 months ago
Estimating the Tensor of Curvature of a Surface from a Polyhedral Approximation
Estimating principal curvatures and principal directions of a surface from a polyhedral approximation with a large number of small faces, such as those produced by iso-surface con...
Gabriel Taubin