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» Comparison of invariant descriptors for object recognition
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CIVR
2007
Springer
199views Image Analysis» more  CIVR 2007»
13 years 10 months ago
New local descriptors based on dissociated dipoles
This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local different...
Alexis Joly
ICIAP
2003
ACM
13 years 9 months ago
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Daniel Toth, Til Aach
CIARP
2010
Springer
12 years 11 months ago
Comparison of Shape Descriptors for Mice Behavior Recognition
Shape representation provides fundamental features for many applications in computer vision and it is known to be important cues for human vision. This paper presents an experiment...
Jonathan de Andrade Silva, Wesley Nunes Gonç...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
13 years 9 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
ICPR
2008
IEEE
14 years 5 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague