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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| Vydané v: | IEEE transactions on pattern analysis and machine intelligence Ročník 35; číslo 2; s. 490 - 503 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Los Alamitos, CA
IEEE
01.02.2013
IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Predmet: | |
| ISSN: | 0162-8828, 1939-3539, 2160-9292, 1939-3539 |
| On-line prístup: | Získať plný text |
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