Comparing Visual Features for Morphing Based Recognition
This thesis presents a method of object classification using the idea of deformable shape matching. Three types of visual features, geometric blur, C1 and SIFT, are used to generate feature descriptors. These feature descriptors are then used to find point correspondences between pairs of images....
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| Language: | en_US |
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2005
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| Online Access: | http://hdl.handle.net/1721.1/30547 |
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