发明名称 |
Local mass distribution partitioning for object recognition |
摘要 |
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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申请公布号 |
US2005063590(A1) |
申请公布日期 |
2005.03.24 |
申请号 |
US20030666242 |
申请日期 |
2003.09.22 |
申请人 |
SIMON CHRISTIAN;LAPOINTE JEAN-SIMON;BALDO STEPHANE |
发明人 |
SIMON CHRISTIAN;LAPOINTE JEAN-SIMON;BALDO STEPHANE |
分类号 |
G06K9/00;G06K9/52;G06K9/68;(IPC1-7):G06K9/00 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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