发明名称 |
Multi-image feature matching using multi-scale oriented patches |
摘要 |
<p>A system and process for identifying corresponding points among multiple images of a scene is presented. This involves a multi-view matching framework based on a new class of invariant features. Features are located at Harris corners in scale-space and oriented using a blurred local gradient. This defines a similarity invariant frame in which to sample a feature descriptor. The descriptor actually formed is a bias/gain normalized patch of intensity values. Matching is achieved using a fast nearest neighbor procedure that uses indexing on low frequency Haar wavelet coefficients. A simple 6 parameter model for patch matching is employed, and the noise statistics are analyzed for correct and incorrect matches. This leads to a simple match verification procedure based on a per feature outlier distance.</p> |
申请公布号 |
EP1594078(A2) |
申请公布日期 |
2005.11.09 |
申请号 |
EP20050103415 |
申请日期 |
2005.04.27 |
申请人 |
MICROSOFT CORPORATION |
发明人 |
BROWN, MATTHEW;SZELISKI, RICHARD |
分类号 |
G06T7/60;G06K9/46;G06K9/64;(IPC1-7):G06K9/46 |
主分类号 |
G06T7/60 |
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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