Abstract
This paper addresses the problem of detection and delineation 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 versus coding noise like Jpeg noise.
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© 1999 Springer-Verlag Berlin Heidelberg
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Bres, S., Jolion, JM. (1999). Detection of Interest Points for Image Indexation. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_53
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DOI: https://doi.org/10.1007/3-540-48762-X_53
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