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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
15 years 3 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
15 years 3 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
PAMI
2010
351views more  PAMI 2010»
14 years 8 months ago
Evaluating Color Descriptors for Object and Scene Recognition
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
IJCV
2010
170views more  IJCV 2010»
14 years 8 months ago
Implicit Moment Invariants
Abstract The use of traditional moment invariants in object recognition is limited to simple geometric transforms, such as rotation, scaling and affine transformation of the image...
Jan Flusser, Jaroslav Kautsky, Filip Sroubek
IBPRIA
2005
Springer
15 years 3 months ago
Gabor Parameter Selection for Local Feature Detection
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
Plinio Moreno, Alexandre Bernardino, José S...