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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongqing Li Baojiang Zhong Kai-Kuang Ma |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Kai-Kuang Ma) || Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China (Dongqing Li; Baojiang Zhong) |
| Abstract | Scale-space corner detection (SSCD) has been drawing much attention in the past. Multi-scale corner detection (MSCD), which recognizes corners only at several scales, can be treated as a fast implementation of SSCD. In this paper, a new MSCD algorithm is proposed, which is based on an arithmetic mean (AM) of the k-cosine curvature values respectively computed at three scales. Compared to the existing MSCD algorithms, which are all based on a geometric mean (GM) curvature, the new algorithm yields a higher numerical stability and a lower computational cost. Experimental results have demonstrated that proposed MSCD algorithm can favorably compare with the state-of-the-art corner detection algorithms. |
| Starting Page | 433 |
| Ending Page | 437 |
| File Size | 489622 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479919482 |
| DOI | 10.1109/ChinaSIP.2015.7230439 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scale-space Image edge detection Noise K-cosine Pattern recognition Accuracy Geometric mean Detectors Computational efficiency Arithmetic mean Detection algorithms Curvature Corner detection |
| Content Type | Text |
| Resource Type | Article |
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