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Corner Detection Algorithms for Digital Images in Last Three Decades

Author(s): Dutta Ambar | Kar Avijit | Chatterji B

Journal: IETE Technical Review
ISSN 0256-4602

Volume: 25;
Issue: 3;
Start page: 123;
Date: 2008;
Original page

Corner detection is an important step in many computer vision applications. A large number of corner detection algorithms were already developed. An exhaustive review of the existing corner detection algorithms is, therefore, invaluable for the researchers working in this area. In the present literature, we have found a few reviews on this area. Most reviewers classified corner detectors into two categories - boundary-based and intensity-based. Some reviewers classified the algorithms into two groups - template-based and geometry-based. Though we follow the first classification, still we feel that there is a requirement of further subdivision. So, we subdivide each category into further two subcategories - spatial-domain and transform-domain. In this paper, we have reviewed a total of 114 corner detection algorithms developed from 1977 to 2006, classified them in each of the four categories and found that most of the works have been done in spatial domain only as compared to transform domain approaches.
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