Near-field photometric stereo using a ring-light imaging device

Traditional photometric stereo reconstructs the 3D surface shape of the target in fine details but assumes distant/directional lighting and orthogonal imaging. Yet, systematic errors occur in practical applications where the lights are divergent and near to the object. In this paper, we present a ne...

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Bibliographic Details
Published inSignal processing. Image communication Vol. 102; p. 116605
Main Authors Fan, Hao, Rao, Yuan, Rigall, Eric, Qi, Lin, Wang, Zhile, Dong, Junyu
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.03.2022
Elsevier BV
Subjects
3D reconstruction
Bias
Deviation
Image reconstruction
Light sources
Photometric stereo
Photometry
Shape measurement
Source code
Systematic errors
Video signal processing
3D reconstruction
Shape measurement
Photometric stereo
Video signal processing
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Summary:Traditional photometric stereo reconstructs the 3D surface shape of the target in fine details but assumes distant/directional lighting and orthogonal imaging. Yet, systematic errors occur in practical applications where the lights are divergent and near to the object. In this paper, we present a new post-processing method to correct the bias using a ring-light imaging device. We demonstrate and put forward a bias regulation process in ring-light equipment using traditional photometric stereo, where an approximate linear deviation exists in the surface gradient and a related quadratic deviation exists in the estimated surface height. Based on this low-frequency bias regulation, the proposed method corrects the systematic errors in traditional photometric stereo by using a set of sparse known real 3D points of the object surface, in order to fit the quadratic height error model and obtain more accurate 3D heights estimation. The proposed method has been evaluated using both simulated and real data to verify its accuracy and effectiveness, and has achieved significant performance. In addition, we integrated ring-light sources in homemade equipment to conduct real-world experiments, which demonstrates significant bias reduction and higher reconstruction quality compared to the existing methods. The source code of our method is available at https://github.com/fanhao/ring-light-photometric-stereo.
ISSN:0923-5965
1879-2677
DOI:10.1016/j.image.2021.116605