Generalized kernel density estimation based robust estimator and its application

Zhen Zhang, Yanning Zhang, Rui Yao, Haisen Li, Yu Zhu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a new General Kernel Density Estimator (GKDE) based robust estimator is presented. The GKDE based robust estimator utilizes GKDE to estimate the distribution of data points and by using local adaptive bandwidth estimator, the scale of inliers or user-specified error threshold is not need. Compared to ASKC, pbM and other Kernel Density Estimation based robust estimator which do not have locality, GKDE has higher resolution for inliers, and experiments show that it has higher precision than traditional robust estimator such as RANSAC, LMeds. We also applied GKDE based estimator to image mosaic for homography estimation.

源语言英语
主期刊名Intelligent Science and Intelligent Data Engineering - Second Sino-Foreign-Interchange Workshop, IScIDE 2011, Revised Selected Papers
112-121
页数10
DOI
出版状态已出版 - 2012
活动2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011 - Xi'an, 中国
期限: 23 10月 201125 10月 2011

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7202 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011
国家/地区中国
Xi'an
时期23/10/1125/10/11

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