自动化学报2009，Vol.35Issue(1)：17-22,6.DOI:10.3724/SP.J.1004.2009.00017
基于对应流形的错误匹配剔了除研究
Rejecting Outliers Based on Correspondence Manifold
摘要
Abstract
Finding reliable corresponding points between two images is a fundamental problem in computer vision, especially with the development of L∞ vision framework. This paper introduce the correspondence manifold and propose a novel scheme to reject outliers by learning upward views of the manifold. The proposed scheme is independent of the parametric model to be estimated and overcomes the following limitations of the available methods in the published works: efficiency sharply goes down with the increase of outlier percentage and the number of the estimated model parameters; outlier rejecting is coupled with model selection and model estimation. Experiments on real image pairs show the excellent performance of our proposed scheme.关键词
Computer vision/point correspondence/outlier rejection/diagnosticKey words
Computer vision/point correspondence/outlier rejection/diagnostic分类
信息技术与安全科学引用本文复制引用
李乡儒,李晓明,李海玲,曹茂永..基于对应流形的错误匹配剔了除研究[J].自动化学报,2009,35(1):17-22,6.基金项目
Supported by National Natural Science Foundation of China (60675020, 60773132), Natural Science Foundation of Shandong Provinee (Q2007G02), and Opening Task-fund for National Labo-ratory of Pattern Recognition （60675020, 60773132）
