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» Discrete optimization in computer vision
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140
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ICCV
1999
IEEE
16 years 5 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
110
Voted
ECCV
2008
Springer
16 years 5 months ago
Kernel Codebooks for Scene Categorization
This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook approach describes an image as a bag of discrete visual...
Jan van Gemert, Jan-Mark Geusebroek, Cor J. Veenma...
138
Voted
ICPR
2008
IEEE
16 years 4 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
111
Voted
ICPR
2008
IEEE
16 years 4 months ago
Nonlocal morphological levelings by partial difference equations over weighted graphs
In this paper, a novel approach to Mathematical Morphology operations is proposed. Morphological operators based on partial differential equations (PDEs) are extended to weighted ...
Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lezora...
118
Voted
ICPR
2002
IEEE
16 years 4 months ago
Tracking Objects Using Recognition
Tracking is frequently considered a frame-to-frame operation. As such, object recognition techniques are generally too slow to be used for tracking. There are domains, however, wh...
Randal C. Nelson, Isaac A. Green