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WANG Su-zhen, WU Wei, JI Yi-xin, ZHANG Long-xiang, WANG Jian-hua. Synchronized capture of 3D shape and color texture based on phase-shifting profilometry[J]. Chinese Optics. doi: 10.37188/CO.EN-2025-0014
Citation: WANG Su-zhen, WU Wei, JI Yi-xin, ZHANG Long-xiang, WANG Jian-hua. Synchronized capture of 3D shape and color texture based on phase-shifting profilometry[J]. Chinese Optics. doi: 10.37188/CO.EN-2025-0014

Synchronized capture of 3D shape and color texture based on phase-shifting profilometry

cstr: 32171.14.CO.EN-2025-0014
Funds:  Supported by Natural Science Foundation of Shandong Province (No. ZR2021MF024)
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  • Author Bio:

    WANG Su-zhen (1975—) received her M.S. degree in environment engineering from Ocean University of China, Qing Dao, China, in 2003 and a Ph.D. degree in environment engineering from Ocean University of China, Qing Dao, China, in 2006. Now she is an associate professor in Qingdao University of Technology. Her research interests include internet of things, intelligent control, digital twin, and machine vision. E-mail: 417322899@qq.com

    WANG Jian-hua (1981—) received his B. Sc. degree in 2004 from China University of Geosciences, received his M. Sc. degree in 2011 from China University of Mining and Technology, received his Ph. D. degree in 2019 from Xi’an University of Technology. Now he is an associate professor in Qingdao University of Technology. His research interests include optical 3D measurement and automation control. E-mail: wjh051130@163.com

  • Corresponding author: wjh051130@163.com
  • Received Date: 01 Mar 2025
  • Accepted Date: 03 Jul 2025
  • Available Online: 22 Jul 2025
  • In recent years, the demand for synchronous acquisition of three-dimensional (3D) shape and color texture has surged in fields such as cultural heritage preservation and healthcare. Addressing this need, this paper proposes a novel method for simultaneous 3D shape and color texture capture. First, a linear model correlating camera exposure time with grayscale values is established. Through exposure time calibration, the projected red, green and blue (RGB) light and white-light grayscale values captured by a monochrome camera are aligned. Then, three sets of color fringes are projected onto the object to identify optimal pixels for 3D reconstruction. And, three pure-color patterns are projected to synthesize the color texture. Experimental results show that this method effectively achieves synchronous 3D shape and color texture acquisition, offering high speed and precision. And using a monochrome camera avoids color crosstalk interference common in 3D reconstruction of colored objects.

     

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