NDLI: An efficient approach for boundary based corner detection by maximizing bending ratio and curvature

Content Provider	IEEE Xplore Digital Library
Author	Kiranyaz, S. Liu, H. Ferreira, M. Gabbouj, M.
Copyright Year	2007
Description	Author affiliation: Tampere Univ. of Technol., Tampere (Kiranyaz, S.)
Abstract	This paper introduces a novel corner detection method, which is based on the bending ratio of a moving window along with a local curvature approximation. A pre-processing step is first carried out in order to find one-pixel thin object boundaries. The proposed method traces over these boundaries, as we refer to as sub-segments and as the first step all potential corners are extracted by finding the maximum bending ratio in the moving window. The exact corner position within the window is then located accurately using the pixel-based curvature approximation. A corner factor can then be assigned to a potential corner using the maximum bending ratio and curvature values and among all potential corners, non-maximum suppression is applied to a group in close proximity and thus only the ones with the highest corner factors survive. In this way the spurious corners are significantly reduced, whilst keeping the true corners. A dedicated set of experimental results approve that the proposed method is highly accurate, computationally efficient and robust resolution and scale variations..
Starting Page	1
Ending Page	4
File Size	482334
Page Count	4
File Format	PDF
ISBN	9781424407781
DOI	10.1109/ISSPA.2007.4555467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-12
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Computational efficiency Robustness Autocorrelation Object detection Computer vision Object recognition Indexing Content based retrieval Visual perception
Content Type	Text
Resource Type	Article

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