文章基本信息

标题：Graph-Based Matching of Stereo Image Features
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作者：Olaf Hellwich
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：307-317
出版社：Copernicus Publications
摘要：A feature-based stereo vision method was developed. It utilizes a neighbourhood graph in order to control the searchfor matching edge pairs. Information about neighbourhood relations supports the establishment and the reliability ofmatches. The matching method does not exploit any geometric constraints and is therefore applicable to a wide range ofrelated problems, such as finding correspondence between images and maps. The most important advantages of thematching algorithm are its independence from human interaction and the use of curved edge segments.The proposed method was implemented in the form of a modular software package on a Sun workstation using theXWindow user interface. The complete software package forms a softcopy photogrammetric program package. Itsmodular nature provides the possibility to exchange parts in order to adjust it to future technological developments, anduse it for further stereo vision research. The features, advantages and problems of the proposed method are discussed.Digitized stereo image pairs for the investigation of automobile accidents are used to illustrate the method. For objectswith distinctive edges, 80 to 90% of the resultant densely distributed feature pairs were found to be correct
关键词：Feature Extraction; Image Matching; Stereoscopy