Laser & Optoelectronics Progress, Volume. 55, Issue 11, 110004(2018)

Research Progress of Texture Reconstruction in Color Three-Dimensional Scanning

Jiachen Wu1, Liangcai Cao1、*, Hailong Chen2, Xiang Peng2, and Guofan Jin1
Author Affiliations
  • 1 State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
  • 2 Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
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    Three-dimensional (3D) scanning based on optical principle is a technology of scanning the object's spatial shape by optical system, which can acquire 3D information of the objects. The technology has the advantages of non-contact, high precision and high resolution. To our knowledge, the structured-light 3D scanning accuracy is up to 0.01 mm, and the point cloud contains millions of points with the working distance less than 1 m. Texture reconstruction can further present the color, material and other information of the scanned objects, and improve the verisimilitude of reconstructed objects. Due to the influence of camera error and illumination environment, it is easy to produce seam, blurring and ghosting in texture images after texture mapping. By introducing the camera model, we derive the relationship between 3D space point and two-dimensional (2D) image, and then analyze the causes of texture artifacts. The methods of eliminating residual artifacts in texture construction are reviewed, and their advantages and limits are summarized. At last, in view of the shortcomings of texture reconstruction, the development trend of the texture reconstruction method for colored 3D model is prospected.

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    Jiachen Wu, Liangcai Cao, Hailong Chen, Xiang Peng, Guofan Jin. Research Progress of Texture Reconstruction in Color Three-Dimensional Scanning[J]. Laser & Optoelectronics Progress, 2018, 55(11): 110004

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    Paper Information

    Category: Reviews

    Received: Apr. 24, 2018

    Accepted: Jun. 4, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Cao Liangcai (clc@mail.tsinghua.edu.cn)

    DOI:10.3788/LOP55.110004

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