Local mass distribution partitioning for object recognition
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United States of America Patent
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Jun 17, 2008
Grant Date -
Mar 24, 2005
app pub date -
Sep 22, 2003
filing date -
Sep 22, 2003
priority date (Note) -
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Abstract
A method for determining a similarity score of a target object with respect to a model object. The target object is in a plane and the model object is represented by a model feature vector. The method comprises generating regions of the plane according to a first mass distribution of the target object and a second mass distribution of a part of the target object. Each of the generated regions has a corresponding mass distribution indicator. The method further comprises calculating a target feature vector for the target object according to at least one of the corresponding mass distribution indicators. Finally, the method computes the similarity score using the target feature vector and the model feature vector.
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