Detection of Interest Points for Image Indexation
نویسندگان
چکیده
This paper addresses the problem of detection and delin-eation of interest points in images as part of an automatic image and video indexing for search by content purposes project. We propose a novel key point detector based on multiresolution contrast information. We compare this detector to the Plessey feature point detector as well as the detector introduced in the SUSAN project. As we are interested in common database applications, we focus this comparison on robustness vs coding noise like Jpeg noise.
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