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» Genetic algorithms for object recognition in a complex scene
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ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
13 years 3 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
ICPR
2000
IEEE
14 years 6 months ago
Integration of Perceptual Grouping and Depth
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results a more robust scene description can be created...
Juan Andrade-Cetto, Alberto Sanfeliu
CVPR
2009
IEEE
15 years 1 months ago
Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment
In this paper we propose a novel nonparametric approach for object recognition and scene parsing using dense scene alignment. Given an input image, we retrieve its best matches ...
Antonio B. Torralba, Ce Liu, Jenny Yuen
ICDAR
2003
IEEE
13 years 11 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
CIVR
2003
Springer
269views Image Analysis» more  CIVR 2003»
13 years 11 months ago
HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...
Hao Shao, Tomás Svoboda, Tinne Tuytelaars, ...