期刊
PATTERN RECOGNITION LETTERS
卷 25, 期 3, 页码 311-318出版社
ELSEVIER
DOI: 10.1016/j.patrec.2003.10.008
关键词
Gabor filter; invariant object recognition; feature extraction
Invariant object recognition is one of the most challenging problems in computer vision. The authors propose a simple Gabor feature space, which has been successfully applied to applications, e.g., in invariant face detection to extract facial features in demanding environments. In the proposed feature space, illumination, rotation, scale, and translation invariant recognition of objects can be realized within a reasonable amount of computation. In this study, fundamental properties of Gabor features, construction of the simple feature space, and invariant search operations in the feature space are discussed in more detail. (C) 2003 Elsevier B.V. All rights reserved.
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