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» Discrete optimization in computer vision
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ICCV
2001
IEEE
16 years 8 months ago
Segmentation with Pairwise Attraction and Repulsion
We propose a method of image segmentation by integrating pairwise attraction and directional repulsion derived from local grouping and figure-ground cues. These two kinds of pairw...
Stella X. Yu, Jianbo Shi
ICPR
2004
IEEE
16 years 7 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
ICPR
2000
IEEE
16 years 7 months ago
Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
Naoyuki Ichimura
175
Voted
ICPR
2000
IEEE
15 years 9 months ago
Classification of Style-Constrained Pattern-Fields
In some classification tasks, all patterns in a field, such as digits in a ZIP-code image, originate from the same, but unknown, source (writer/print style). The class-conditional...
Prateek Sarkar, George Nagy
CVPR
2005
IEEE
15 years 8 months ago
Monocular 3-D Tracking of the Golf Swing
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3– D reconstructions from monocular sequences. We formulate the trac...
Raquel Urtasun, David J. Fleet, Pascal Fua