Detection of Interest Points for Image Indexation

Lecture notes in computer sciencePublished 1 January 1999

Stéphane Bres, Jean-Michel Jolion

DOI10.1007/3-540-48762-x_53

Source URL

Citations58

SJR quartileQ2

SJR score0.35

SNIP0.55

TL;DR

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.

Keywords

Computer Science

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