Paper
31 January 2013 Porcelain three-dimensional shape reconstruction and its color reconstruction
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 875913 (2013) https://doi.org/10.1117/12.2014456
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
In this paper, structured light three-dimensional measurement technology was used to reconstruct the porcelain shape, and further more the porcelain color was reconstructed. So the accurate reconstruction of the shape and color of porcelain was realized. Our shape measurement installation drawing is given. Because the porcelain surface is color complex and highly reflective, the binary Gray code encoding is used to reduce the influence of the porcelain surface. The color camera was employed to obtain the color of the porcelain surface. Then, the comprehensive reconstruction of the shape and color was realized in Java3D runtime environment. In the reconstruction process, the space point by point coloration method is proposed and achieved. Our coloration method ensures the pixel corresponding accuracy in both of shape and color aspects. The porcelain surface shape and color reconstruction experimental results completed by proposed method and our installation, show that: the depth range is 860 ∼ 980mm, the relative error of the shape measurement is less than 0.1%, the reconstructed color of the porcelain surface is real, refined and subtle, and has the same visual effect as the measured surface.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoyang Yu, Haibin Wu, Xue Yang, Shuang Yu, Beiyi Wang, and Deyun Chen "Porcelain three-dimensional shape reconstruction and its color reconstruction", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 875913 (31 January 2013); https://doi.org/10.1117/12.2014456
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KEYWORDS
Computer programming

3D metrology

3D modeling

Binary data

Optical testing

Cameras

Projection systems

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