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» Gabor Parameter Selection for Local Feature Detection
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IBPRIA
2005
Springer
13 years 9 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...
TIP
2008
142views more  TIP 2008»
13 years 3 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
13 years 10 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
ICIAP
1999
ACM
13 years 8 months ago
Comparison of Texture Features Based on Gabor Filters
—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which ...
Peter Kruizinga, Nicolai Petkov, Simona E. Grigore...
MVA
2000
212views Computer Vision» more  MVA 2000»
13 years 3 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...