@inproceedings{3eb57f83895c4fc4a75c84836c6c318a,
title = "Generalized kernel density estimation based robust estimator and its application",
abstract = "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.",
keywords = "Ballon Estimator, Generalized Kernel Density Estimation, Image Mosiac, Robust Regression",
author = "Zhen Zhang and Yanning Zhang and Rui Yao and Haisen Li and Yu Zhu",
year = "2012",
doi = "10.1007/978-3-642-31919-8_15",
language = "英语",
isbn = "9783642319181",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "112--121",
booktitle = "Intelligent Science and Intelligent Data Engineering - Second Sino-Foreign-Interchange Workshop, IScIDE 2011, Revised Selected Papers",
note = "2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011 ; Conference date: 23-10-2011 Through 25-10-2011",
}