Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition

Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or texture. Methods: We propose a trainable filte...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence Vol. 35; no. 2; pp. 490 - 503
Main Authors: Azzopardi, G., Petkov, N.
Format: Journal Article
Language:English
Published: Los Alamitos, CA IEEE 01.02.2013
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
ISSN:0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:Get full text
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