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LEARNING PART-BASED MODELS OF OBJECTS

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专利内容由知识产权出版社提供

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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