Paper Info
Title
Interest points based on maximization of distinctiveness
Abstract
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.
Year
DOI
Venue
2008
10.1145/1460096.1460130
Multimedia Information Retrieval
Keywords
DocType
Citations 
exhibit local distinctiveness,interest point,sift interest point,meaningful point,large databases,corel stock photography test,image retrieval,novel algorithm,harris corner detector,image understanding task
Conference
2
PageRank 
References 
Authors
0.37
13
2
Name
Order
Citations
PageRank
Ard Oerlemans1836.20
Michael S. Lew22742166.02