Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140450
Title: Robust ellipse detection via duality principle with a false determination control
Authors: Dong, Huixu
Chen, I-Ming
Prasad, Dilip Kumar
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Dong, H., Chen, I.-M., & Prasad, D. K. (2018). Robust ellipse detection via duality principle with a false determination control. Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2, 223-234. doi:10.1007/978-981-10-7898-9_18
Abstract: In this paper, we propose a novel ellipse detection approach that eliminates false detection-based parameter space decomposition, principal of symmetric tangents, and a novel geometric constraint utilizing properties of tangents of ellipses. The principle of symmetric tangents provides better computational efficiency through confirmation of the ellipse center in the decomposed parameter space. The geometric constraint is used for alleviating the false detection probability. The experimental results confirm that the approach detects ellipse with an excellent accuracy at a high speed.
URI: https://hdl.handle.net/10356/140450
ISBN: 9789811078972
DOI: 10.1007/978-981-10-7898-9_18
Rights: © 2018 Springer Nature Singapore Pte Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:RRC Conference Papers

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