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基于SfS的3D视觉测量研究 被引量:2

3D vision measurement based on shape from silhouette
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摘要 提出了一种将Shape from Silhouette(SfS)技术应用在三坐标机上的新方法,即用摄像机获取图像,用三坐标机作移动平台,构建视觉测量系统,应用SfS技术对物体进行三维测量。该视觉测量系统扩展了坐标机功能,扩大了其应用范围。实验结果表明,该视觉测量系统具有SfS技术和坐标机两者的优点,重构物体三维模型的过程简单快捷,精度高于0.4mm,其结果可作为坐标机智能测量的基础,是一种非常实用的方法。 Shape from Silhouette(SfS) is a passive non-contact 3D measurement method, which is used in 3D modeling and reverse engineering etc. Using SfS method, a simple, low cost, efficient and accurate 3D information acquisition system can be established and the request of the surface material of the object that is measured is low. Compared to laser scanning, SfS can also measure an object with hole. A new method that Shape from Silhouette is applied to measure the objects in coordinate metrology is proposed, that is the vision measurement system is made up of the camera, the coordinate metrology and SfS. Intelligent measurement is carried out on the vision measurement system to 3D reconstruction and consequently the precision is improved. The functions of coordinate metrology are expanded and the applications of coordinate metrology are enlarged by the system. The running experiment results on the vision measurement system show that this system has SfS and coordinate metrology's advantages. The approach to 3D reconstruction is very efficient and the accuracy is higher than 0.4mm. This approach is a much applied way and it can be a foundation of intelligent measurement.
出处 《光学技术》 CAS CSCD 北大核心 2009年第3期474-478,共5页 Optical Technique
关键词 视觉测量 SFS 智能测量 三维重构 空间雕刻 vision measurement Shape from Silhouette inteLligent measurement 3D reconstruction space caving
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参考文献10

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共引文献3

同被引文献22

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