基于单目多幅灰度图像的三维曲面测量方法  

作　　者：乌秀春[1] 郭东明[2] 王若愚[1] 常怀德[1] 

机构地区：[1]辽宁工学院汽车与交通工程学院,邮政编码锦州121001 [2]大连理工大学机械工程学院

出　　处：《机械制造》2005年第3期8-10,共3页Machinery

基　　金：国家自然科学基金资助项目(编号:59975016)

摘　　要：基于单目多幅灰度图像的三维曲面测量方法,能以自然方式提取物体表面的形状信息,且易于实现系统间的信息集成,属于非接触性测量,具有应用前景。介绍了适合于曲面测量的改进光照模型,然后采用非线性最小二乘优化方法来确定光照参数,并给出针对该模型提出的基于单目多幅图像的曲面重构算法。试验结果表明,该测量方法有效可行,具有一定的实用价值。With the three-dimensional measurement based on monocular multiple gray images, the information of the surface shape can be obtained in a natural way and the information integration of different systems be realized. As a non-contact method of measurement, it has a prospect of application. An improved illumination model for surface measurement is introduced first in the paper. Then the illumination parameters are determined with the nonlinear least square optimizing method. In accordance with the improved illumination model, the surface reconstruction algorithm based on monocular multiple gray images is put forward. The test result has shown that this method of measurement is efficient and practical.

关 键 词：图像测量 光照模型 参数确定 曲面重构 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]