发明申请
- 专利标题: SCALABLE NEAR DUPLICATE IMAGE SEARCH WITH GEOMETRIC CONSTRAINTS
- 专利标题(中): 可近似的几何图像搜索与几何约束
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申请号: US12364090申请日: 2009-02-02
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公开(公告)号: US20100195914A1公开(公告)日: 2010-08-05
- 发明人: Michael Isard , Qifa Ke , Jian Sun , Zhong Wu
- 申请人: Michael Isard , Qifa Ke , Jian Sun , Zhong Wu
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06K9/46
摘要:
Methods are disclosed for finding images from a large corpus of images that at least partially match a query image. The present method makes use of feature detectors to bundle features into local groups or bundles. These bundled features are repeatable and much more discriminative than an individual SIFT feature. Equally importantly, the bundled features provide a flexible representation that allows simple and robust geometric constraints to be efficiently enforced when querying the index.
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