A comprehensive review of current local features for computer vision

Li, Jing and Allinson, Nigel (2008) A comprehensive review of current local features for computer vision. Neurocomputing, 71 (10-12). pp. 1771-1787. ISSN 0925-2312

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Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In this review, we focus on detectors and local descriptors. Both earlier corner detectors, e.g., Harris corner detector, and later region detectors, e.g., Harris affine region detector, are described in brief. Most kinds of descriptors are described and summarized in a comprehensive way. Five types of descriptors are included, which are filter-based descriptors, distribution-based descriptors, textons, derivative-based descriptors and others. Finally, the matching methods and different applications with respect to the local features are also mentioned. The objective of this review is to provide a brief introduction for new researchers to the local feature research field, so that they can follow an appropriate methodology according to their specific requirements. © 2008 Elsevier B.V. All rights reserved.

Keywords:Feature extraction, Image matching, Image retrieval, Object recognition, Robots, Corner detectors, Derivative-based descriptors, Distribution-based descriptors, Feature descriptors, Feature detectors, Filter-based descriptors, Region detectors, Computer vision, algorithm, analytical equipment, article, Color based descriptor, Complex filters, Derivative based descriptor, Descriptor of sift, Difference of Gaussian operator and sift detector, Distribution based filters, Filter based descriptor, Gabors filters, Gradient location and orientation histogram, Harris affine and Hessian affine, Harris corner detector, High speed corner detector, image analysis, image display, Intensity based region detector, Moravec corner detector, PCA SIFT descriptor, priority journal, robotics, Rotation invariant feature transform, Salient region detector, Shape context, Spin image, Steerable filters, SUSAN detector, Textons, three dimensional imaging, Trajkovic operator, visual information
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:8553
Deposited On:05 Apr 2013 10:05

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