Binary Histogrammed Intensity Patches for Efficient and Robust Matching
作者:Simon Taylor, Tom Drummond
摘要
This paper describes a method for feature-based matching which offers very fast runtime performance due to the simple quantised patches used for matching and a tree-based lookup scheme which prevents the need for exhaustively comparing each query patch against the entire feature database. The method enables seven independently moving targets in a test sequence to be localised in an average total processing time of 6.03 ms per frame.
论文关键词:Image matching, Keypoint recognition, Feature extraction, Keypoint matching, Matching by classification, Pose estimation, Real-time system
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论文官网地址:https://doi.org/10.1007/s11263-011-0430-6