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论文中文题名:

     

姓名:

 席跃    

学号:

 06301    

保密级别:

     

学科代码:

 081203    

学科名称:

     

学生类型:

     

学位年度:

 2009    

院系:

 计算机科学与技术学院    

专业:

 计算机应用技术    

第一导师姓名:

 李占利    

论文外文题名:

 Research on Targets Images Based Large-scale Work Piece 3D Measurement System    

论文中文关键词:

 人工特征点 ; 视觉测量 ; 图像分割 ; 特征点匹配    

论文外文关键词:

 Encoded target 3D vision measurement Edge extracting Target matching    

论文中文摘要:
CADCAD仿CAD, 使 Matlab7.0使
论文外文摘要:
Automobile manufacture is a super-scale and complex process, which the basic premise is the production of cart-parts. The traditional design and product procedure requires the blue print or CAD model of part, however, the initial status of procedure is often without blue print or CAD model in many cases, instead there are physic models or original parts. In this situation, we must acquire the 3D data from the object and than modeling that in CAD software before the clone or designation. Therefore, acquiring 3D data precisely, rapidly and completely is the most important step in automobile manufacture. The paper analysis the technical of 3D measurement by encoded targets image sequence and experimentally testifies those technical by the 3D measurement system we developed. Popular 3-dimension measure technologies are firstly compared, while the weaknesses are point out. Than 3D measurement by encoded targets image sequence is chosen as the theory base of 3D measurement system. Secondly, the requirement and feasibility of the measure system have been done. In system designing, the system has been divided into three component modules: Image preprocessing module, feature point match module and space point reconstruction module. This thesis focuses on the first two modules, describes the methods of feature point extraction and feature point matching in detail. Finally, based on the study and research above, we build the main frame of 3D measure system and give the class and interface in the software. Than we realize the system with Matlab7.0.The experiment result show the system possessed the basic function of 3D measurement.
中图分类号:

 TP391.73    

开放日期:

 2010-04-01    

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