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CVPR
2012
IEEE
13 years 4 days ago
Optical flow in the presence of spatially-varying motion blur
This paper extends the classical warping-based optical flow method to achieve accurate flow in the presence of spatially-varying motion blur. Our idea is to parameterize the app...
Travis Portz, Li Zhang, Hongrui Jiang
CVPR
2007
IEEE
15 years 11 months ago
Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...
Zhaozheng Yin, Robert T. Collins
CVPR
2003
IEEE
15 years 11 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...
ECCV
2004
Springer
15 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ECCV
2002
Springer
15 years 11 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black