Local invariant feature detectors: a survey

Authors:
Tinne Tuytelaars;Krystian Mikolajczyk
Affiliations:
Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium;School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, UK
Venue:
Foundations and Trends® in Computer Graphics and Vision
Year:
2008

Citing 140
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Abstract

In this survey, we give an overview of invariant interest point detectors, how they evolvd over time, how they work, and what their respective strengths and weaknesses are. We begin with defining the properties of the ideal local feature detector. This is followed by an overview of the literature over the past four decades organized in different categories of feature extraction methods. We then provide a more detailed analysis of a selection of methods which had a particularly significant impact on the research field. We conclude with a summary and promising future research directions.