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This paper presents a novel visual tracking algorithm based on incremental two-dimensional maximum margin criterion (2DMMC). 2DMMC is a promising discriminant criterion for image feature extraction and its specialities make it a good choice for visual tracking problem. The proposed approach uses the 2DMMC to learn a discriminant projection matrix that best separates the target from the background...
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as a feature called a Line Signature. Similar to local features, line signatures are robust to occlusion, image clutter, and viewpoint changes. The descriptor and similarity measure of line signatures are presented. Under our...
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