Key techniques for vision measurement of 3D object surface

Huachao Yang; Shubi Zhang; Guangli Guo; Chao Liu; Ruipeng Yu

doi:10.1117/12.717096

24 October 2006 Key techniques for vision measurement of 3D object surface

Huachao Yang, Shubi Zhang, Guangli Guo, Chao Liu, Ruipeng Yu

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63571Z (2006) https://doi.org/10.1117/12.717096
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Digital close-range photogrammetry system and machine vision are widely used in production control, quality inspection. The main aim is to provide accurate 3D objects or reconstruction of an object surface and give an expression to an object shape. First, the key techniques of camera calibration and target image positioning for 3D object surface vision measurement were briefly reviewed and analyzed in this paper. Then, an innovative and effect method for precise space coordinates measurements was proposed. Test research proved that the thought and methods we proposed about image segmentation, detection and positioning of circular marks were effective and valid. A propriety weight value for adding parameters, control points and orientation elements in bundle adjustment with self-calibration are advantageous to gaining high accuracy of space coordinates. The RMS error of check points is less than ±1 mm, which can meet the requirement in industrial measurement with high accuracy.

Citation Download Citation

Huachao Yang, Shubi Zhang, Guangli Guo, Chao Liu, and Ruipeng Yu "Key techniques for vision measurement of 3D object surface", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63571Z (24 October 2006); https://doi.org/10.1117/12.717096

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