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26 August 1996 High-speed optical inspection of rapid prototyping parts
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Proceedings Volume 2787, Rapid Prototyping; (1996) https://doi.org/10.1117/12.248583
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France
Abstract
In this paper, we describe a new automated inspection method of parts produced by rapid prototyping machines using a 3-D range sensor. The input to the program is a tessellated representation of the part at a desired resolution saved in the standard STL format and an un-ordered series of measurements produced by a 3-D optical sensor. The output is an inspection report indicating the level of discrepancy between the measured points and the model. Using this inspection system an operator of a rapid prototyping machine can rapidly identify fabrication defects or monitor process drift during conversion process. At the base of the method, a new robust correspondence algorithm which can find the rigid transformation between the tessellated model of the part and the measured points, is presented. This method is based on a least median square norm capable of a robustness of up to 50%. The robustness of the method is essential since one cannot guaranty that in practice, all the points in the measured set belong to the model. These types of algorithms are usually quite costly in computational complexity but we show that one can speed-up these algorithms by using the well-known iterative closest point algorithm (ICP) and a multi-resolution representation scheme based on voxels. We analyze in detail the complexity of the algorithm. We also present experimental results on a complex part with global and local inspection processes.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Veronique Moron, Pierre Boulanger, Takeshi Masuda, and Tanneguy Redarce "High-speed optical inspection of rapid prototyping parts", Proc. SPIE 2787, Rapid Prototyping, (26 August 1996); https://doi.org/10.1117/12.248583
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