Robust Image Matching with Selected SIFT Descriptors
نویسندگان
چکیده
A robust image matching algorithm using a set of selected SIFT descriptors is investigated in this work. We first utilize the colorbased segmentation method and the watershed algorithm to separate foreground and background regions in images and then search the corresponding SIFT descriptors along foreground contours. These selected SIFT descriptors can offer more robust and stable image matching results. Furthermore, we reduce the dimension of SIFT descriptors using the skeleton pruning technique that eliminates unessential key points. It is demonstrated by experimental results that the image matching algorithm with the proposed selected SIFT descriptors outperforms the classical SIFT-based image matching algorithm by a significant margin.
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