Shape Matching with Belief Propagation: Using Dynamic Quantization to Accomodate Occlusion and Clutter

Authors:
James Coughlan;Huiying Shen
Affiliations:
Smith-Kettlewell Institute, San Francisco, CA;Smith-Kettlewell Institute, San Francisco, CA
Venue:
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Year:
2004

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Abstract

Statistical region-based segmentation methods such as the Active Appearance Model (AAM) are used for establishing dense correspondences in images based on learning the variation in shape and pixel intensities in a training set. For low resolution 2D ...