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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
VMV
2001
101views Visualization» more  VMV 2001»
13 years 11 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
ICPR
2008
IEEE
14 years 4 months ago
3D localization of partially buried object in unstructured environment
This paper describes a method to localize objects which are partially buried in an unstructured environment. The objects are limited to surfaces of revolution in the present study...
Kenichi Maruyama, Koji Oka, Ryuichi Takase, Yoshih...
ICCV
2007
IEEE
14 years 4 months ago
Automatic Camera Network Localization using Object Image Tracks
Camera networks are being used in more applications as different types of sensor networks are used to instrument large spaces. Here we show a method for localizing the cameras in ...
Marci Meingast, Songhwai Oh, Shankar Sastry
BMVC
1998
13 years 11 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke