发明授权
US08868571B1 Systems and methods for selecting interest point descriptors for object recognition
有权
用于选择对象识别的兴趣点描述符的系统和方法
- 专利标题: Systems and methods for selecting interest point descriptors for object recognition
- 专利标题(中): 用于选择对象识别的兴趣点描述符的系统和方法
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申请号: US13335352申请日: 2011-12-22
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公开(公告)号: US08868571B1公开(公告)日: 2014-10-21
- 发明人: Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
- 申请人: Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
Systems and methods for selecting interest point descriptors for object recognition. In an embodiment, the present invention estimates performance of local descriptors by (1) receiving a local descriptor relating to an object in a first image; (2) identifying one or more nearest neighbor descriptors relating to one or more images different from the first image, the nearest neighbor descriptors comprising nearest neighbors of the local descriptor; (3) calculating a quality score for the local descriptor based on the number of nearest neighbor descriptors that relate to images showing the object; and (4) determining, on the basis of the quality score, if the local descriptor is effective in identifying the object.
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