3D shape measurement based on structured light field imaging

Zhou, Ping; Zhang, Yu Ting; Yu, Yun Lei; Cai, Wei; Zhou, Guang-Quan

doi:10.3934/mbe.2020034

Cited by 10 publications

(2 citation statements)

References 21 publications

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“…1. There are two main methods to extract phase from the distorted fringes in fringe projection profilometry, phase-shifting profilometry (PSP) [3]- [5], and Fourier transform profilometry (FTP) [10]- [13]. Generally, FTP employs a single frame to evaluate the phases, whereas PSP needs at least three, FTP is thus much faster than PSP.…”

Section: Introductionmentioning

confidence: 99%

3D Measurement of Discontinuous Objects with Optimized Dual-frequency Grating Profilometry

Che

Sun

Jin

et al. 2021

Measurement Science Review

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Three-dimensional profilometry tends to be less effective at measuring discontinuous surfaces. To overcome this problem, an optimized profilometry based on fringe projection is proposed in this paper. Due to the limitation of the shooting angle, there are projection blind spots on the surface of discontinuous objects. Since the noises and unwrapping errors are always localized at the projection blind spots, an algorithm is designed to determine the blind spots automatically with the light intensity difference information. Besides, in order to improve the measurement accuracy, a processing scheme is introduced to deal with the local height distortion introduced by the dual-frequency grating profilometry. Lots of measurement tests on various surfaces are carried out to assess the optimized profilometry, and experimental results indicate that the modified profilometry system works more robust with high reliability and accuracy in measuring different kinds of surfaces, especially discontinuous ones.

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Section: Introductionmentioning

confidence: 99%

3D Measurement of Discontinuous Objects with Optimized Dual-frequency Grating Profilometry

Che

Sun

Jin

et al. 2021

Measurement Science Review

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“…In this case, there is a unique determination relationship between the phase value and the pixel in the same scene. The method used the structured light in the light field had realized the 3D measurement [20]. However, their work still used the camera and projector calibration technology, so the system calibration was more complicated due to the feature of the multi-view angle of the light field camera.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Reconstruction of Light Field Based on Phase Similarity

Feng

Gao

et al. 2021

Sensors

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Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is proposed to increase the accuracy of depth estimation and the scope of applicability of epipolar plane image (EPI). The calibration method of the light field camera was used to obtain the relationship between disparity and depth, and the projector calibration was removed to make the experimental procedure more flexible. Then, the disparity estimation algorithm based on phase similarity was designed to effectively improve the reliability and accuracy of disparity calculation, in which the phase information was used instead of the structure tensor, and the morphological processing method was used to denoise and optimize the disparity map. Finally, 3D reconstruction of the light field was realized by combining disparity information with the calibrated relationship. The experimental results showed that the reconstruction standard deviation of the two objects was 0.3179 mm and 0.3865 mm compared with the ground truth of the measured objects, respectively. Compared with the traditional EPI method, our method can not only make EPI perform well in a single scene or blurred texture situations but also maintain good reconstruction accuracy.

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