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专利名称:LEARNING PART-BASED MODELS OF
OBJECTS
发明人:Ananth Ranganathan,Roozbeh Mottaghi申请号:US13453571申请日:20120423
公开号:US20130279800A1公开日:20131024
专利附图:
摘要:A system and method are disclosed for learning part-based object modelsduring a learning phase from training images and applying the learned object models toan input image during runtime. The learned part-based object models are augmented by
appearance-based models of the objects. The part-based object models correspond tothe shapes of the parts of an object. The appearance-based models provide additionalappearance cues to the object models for object classification. The approach to learningpart-based object models has the capability of learning object models without usingviewpoint labels of the objects. The learning is also invariant to scale and in-planerotation of the objects.
申请人:Ananth Ranganathan,Roozbeh Mottaghi
地址:Mountain View CA US,Los Angeles CA US
国籍:US,US
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