文章基本信息

标题：STEREOMETRICA: A NOVELL COMPREHENSIVE STEREO VISION TOOLBOX FOR DEVELOPERS AND INVESTIGATORS
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作者：Farhad Samdzadegan ; Ali Azizi
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：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：Standard digital stereo photogrammetric systems are mainly designed to accomplish specific tasks and hence they may be regarded as problem oriented systems. However, for the solution of variety of conventional and non-conventional problems in computer vision and photogrammetry a vision based tool box may offer a great flexibility and adaptability for handling different tasks. In this paper the design and implementation of a first comprehensive toolbox (StereoMetrica) for the solution of numerous problems in computer vision and digital photogrammetry is described. This paper first presents the general structure of StereoMetrica vision system and then discusses its design considerations
关键词：stereo vision; comprehensive math modeling; reconstruction; fusion; recognition