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	ELLIPSE-SPECIFIC FITTING BY RELAXING THE 3L CONSTRAINTS WITH SEMIDEFINITE PROGRAMMING
	Rong, Jiangpeng ; Yang, Sen ; Mei, Xiang ; Ying, Xianghua ; Huang, Shiyao ; Zha, Hongbin
	2015
关键词	conic fitting ellipse-specific fitting semidefinite programming 3L algorithm relaxation programming SURFACES CURVES ALGORITHM
英文摘要	This paper presents a new efficient method to increase the accuracy and the robustness of ellipse fitting, by utilizing the 3L algorithm and semidefinite programming (SDP). The novelty lies on the combination of relaxed geometric distance constraints and semidefinite programming framework. Due to the relaxed 3L constraints, the proposed approach provides high robustness in the presence of noise. The accuracy of the final solution is prominently increased even if the data suffer from strong occlusions or noises. The proposed method represents significant advantages in both accuracy and robustness. Experimental results and comparisons with state-of-the-art fitting methods demonstrate the improvements in ellipse fitting.; EI; CPCI-S(ISTP); 710-714; 2015-December
语种	英语
出处	2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
DOI标识	10.1109/ICIP.2015.7350891
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436424]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Rong, Jiangpeng,Yang, Sen,Mei, Xiang,et al. ELLIPSE-SPECIFIC FITTING BY RELAXING THE 3L CONSTRAINTS WITH SEMIDEFINITE PROGRAMMING. 2015-01-01.

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