PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Local Invariant Feature Detectors: A Survey
Tinne Tuytelaars and Krystian Mikolajczyk
Foundations and Trends in Computer Graphics and Vision Volume 3, Number 3, pp. 177-280, 2008.

Abstract

In this survey, we give an overview of invariant interest point detectors, how they evolved 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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:1614
Deposited By:Tinne Tuytelaars
Deposited On:24 March 2009