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Systems, circuits, and methods for efficient hierarchical object recognition based on clustered invariant features
Systems, circuits, and methods for efficient hierarchical object recognition based on clustered invariant features
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机译:用于基于聚类不变特征的高效分层对象识别的系统,电路和方法
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摘要
One embodiment is a method for selecting and grouping key points extracted by applying a feature detector on a scene being analyzed. The method includes grouping the extracted key points into clusters that enforce a geometric relation between members of a cluster, scoring and sorting the clusters, identifying and discarding clusters that are comprised of points which represent the background noise of the image, and sub-sampling the remaining clusters to provide a smaller number of key points for the scene.
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