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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 5 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
EC
2008
174views ECommerce» more  EC 2008»
13 years 4 months ago
Automated Design of Image Operators that Detect Interest Points
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Leonardo Trujillo, Gustavo Olague
CIVR
2007
Springer
361views Image Analysis» more  CIVR 2007»
13 years 10 months ago
Interpretability based interest points detection
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
Ahmed Rebai, Alexis Joly, Nozha Boujemaa
ICCV
2003
IEEE
14 years 6 months ago
Space-time Interest Points
Local image features or interest points provide compact ract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points int...
Ivan Laptev, Tony Lindeberg
TMI
1998
97views more  TMI 1998»
13 years 4 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...