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	Adaptive scale based entropy-like estimator for robust fitting
	Cai, Jinlong ; Wang, Hanzi ; Wang HZ(王菡子)
	2013-10-18
关键词	Entropy Signal processing Statistics
英文摘要	Conference Name:2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013. Conference Address: Vancouver, BC, Canada. Time:May 26, 2013 - May 31, 2013.; IEE Signal Processing Society; In this paper, we propose a novel robust estimator, called ASEE (Adaptive Scale based Entropy-like Estimator) which minimizes the entropy of inliers. This estimator is based on IKOSE (Iterative Kth Ordered Scale Estimator) and LEL (Least Entropy-Like Estimator). Unlike LEL, ASEE only considers inliers' entropy while excluding outliers, which makes it very robust in parametric model estimation. Compared with other robust estimators, ASEE is simple and computationally efficient. From the experiments on both synthetic and real-image data, ASEE is more robust than several state-of-the-art robust estimators, especially in handling extreme outliers. ? 2013 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICASSP.2013.6638717
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86682]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Cai, Jinlong,Wang, Hanzi,Wang HZ. Adaptive scale based entropy-like estimator for robust fitting. 2013-10-18.

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