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- W1570374278 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." @default.
- W1570374278 created "2016-06-24" @default.
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- W1570374278 date "2015-07-01" @default.
- W1570374278 modified "2023-10-16" @default.
- W1570374278 title "Multi-scale corner detection based on arithmetic mean curvature" @default.
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- W1570374278 doi "https://doi.org/10.1109/chinasip.2015.7230439" @default.
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