8 October 2015 Research on dimensional measurement method of mechanical parts based on stereo vision
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96750Q (2015) https://doi.org/10.1117/12.2197848
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
This paper researches on the key and difficult issues in stereo measurement deeply, including camera calibration, feature extraction, stereo matching and depth computation, and then put forwards a novel matching method combined the seed region growing and SIFT feature matching. It first uses SIFT characteristics as matching criteria for feature points matching, and then takes the feature points as seed points for region growing to get better depth information. Experiments are conducted to validate the efficiency of the proposed method using standard matching graphs, and then the proposed method is applied to dimensional measurement of mechanical parts. The results show that the measurement error is less than 0.5mm for medium sized mechanical parts, which can meet the demands of precision measurement.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhuoyun Zhou, Zhuoyun Zhou, Xuewu Zhang, Xuewu Zhang, Haodong Shen, Haodong Shen, Zhuo Zhang, Zhuo Zhang, Xinnan Fan, Xinnan Fan, } "Research on dimensional measurement method of mechanical parts based on stereo vision", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750Q (8 October 2015); doi: 10.1117/12.2197848; https://doi.org/10.1117/12.2197848


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