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  • 标题:STEREOMETRICA: A NOVELL COMPREHENSIVE STEREO VISION TOOLBOX FOR DEVELOPERS AND INVESTIGATORS
  • 本地全文:下载
  • 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
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