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CVPR
2005
IEEE
14 years 8 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 27 days ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
IWCIA
2004
Springer
14 years 3 days ago
Performance Evaluation of Binarizations of Scanned Insect Footprints
The paper compares six conventional binarization methods for the special purpose of subsequent analysis of scanned insect footprints. We introduce a new performance criterion for p...
Young Woon Woo
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
ICCVW
1999
Springer
13 years 11 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson