interest points based on maximization of distinctiveness
Interest or salient points are typically meaningful points within an image which can be used for a wide variety of image understanding tasks. In this paper we present a novel algorithm for detecting interest points within images. The new technique is based on finding the locations in an image which exhibit local distinctiveness. We evaluate our algorithm on the Corel stock photography test set in the context of content based image retrieval from large databases and provide quantitative comparisons to the well known SIFT interest point and Harris corner detectors as a benchmark.
interest points image retrieval