High dynamic range 3D shape reconstruction: Combination of adaptive fringe intensity, iterative exposure time adjustment and least quadratic curve fitting

被引：0
|
作者：
Wang J. [1 ]
Xu P. [1 ]
Shao M. [1 ]
Ma H. [2 ]
机构：
[1] School of Information and Control Engineering, Qingdao University of Technology, Shandong, Qingdao
[2] Key Laboratory of AI and Information Processing (Hechi University), Education Department of Guangxi Zhuang Autonomous Region, HeChi University, Guangxi, Hechi
来源：
Optik | 2024年 / 307卷
关键词：
Adaptive fringe projection; Fringe projection profilometry; Iterative exposure time; Specular surfaces; Three-dimensional;
D O I：
10.1016/j.ijleo.2024.171813
中图分类号：
学科分类号：
摘要：
For three-dimensional (3D) reconstruction of specular surfaces based on fringe projection profilometry (FPP), a hybrid approach combining adaptive fringe projection, iterative exposure time adjustment and least quadratic curve fitting is proposed. First, we propose an adaptive projection fringe intensity generation method in the camera image. Second, we build a new pixel matching between the camera and projector, and correct the pixel matching on the specular surfaces based on linear interpolation. Third, we propose an iterative exposure time adjustment method based on saturated pixel statistics. Fourth, we fuse the multiple results to obtain the final 3D reconstructed surface. Finally, we adopt a least quadratic curve fitting algorithm to fit the residual phase errors. Experiments confirmed the validity of the proposed method. © 2024
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