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» Image Categorization Using Local Probabilistic Descriptors
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120
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ICCV
1999
IEEE
16 years 4 months ago
Probabilistic Detection and Tracking of Motion Discontinuities
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
Michael J. Black, David J. Fleet
130
Voted
ECCV
2002
Springer
16 years 4 months ago
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A prob...
Xiaofeng Ren, Jitendra Malik
126
Voted
BMVC
2010
15 years 7 days ago
Weakly Supervised Object Recognition and Localization with Invariant High Order Features
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supe...
Yimeng Zhang, Tsuhan Chen
123
Voted
CVPR
2005
IEEE
16 years 4 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
141
Voted
ECCV
2004
Springer
16 years 4 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...