Three‐dimensional spatial point computation in fringe projection profilometry

Juarez-Salazar, Rigoberto; Rodríguez-Reveles, Gustavo A.; Esquivel-Hernandez, Sofia; Díaz-Ramírez, Víctor H.

doi:10.1016/j.optlaseng.2023.107482

Cited by 14 publications

(8 citation statements)

References 46 publications

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“…9 Once the camera parameters are obtained, the triangulation method is applied to determine the 3D points. [10][11][12][13] However, the estimated points contain noisy measurements. Thus, the bundle adjustment can be applied to minimize the re-projection error of the 3D points for all estimated poses.…”

Section: Epipolar Geometrymentioning

confidence: 99%

Vision-based pose estimation for robot navigation in an uncontrolled environment

Zheng Wu,

Juarez-Salazar,

Diaz-Ramirez

2023

Optics and Photonics for Information Processing XVII

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Location and pose estimation are essential tasks for robot navigation. Conventional global positioning systems can perform poorly due to environmental or indoor interference. Alternatively, vision-based location and pose estimation systems may be more suitable for indoor and outdoor applications. However, vision-based systems still need to improve their robustness in an uncontrolled environment and operational performance. In this work, a visual pose estimation method for robot navigation in an uncontrolled environment is proposed. The theoretical principles of pose estimation are reviewed and the usefulness of the proposed approach in a navigation sequence is shown. The results obtained show that the proposed method is feasible for robot navigation applications.

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Section: Epipolar Geometrymentioning

confidence: 99%

Vision-based pose estimation for robot navigation in an uncontrolled environment

Zheng Wu,

Juarez-Salazar,

Diaz-Ramirez

2023

Optics and Photonics for Information Processing XVII

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“…1 Basically, 3D reconstructions by a SLPS are performed by determining the directions in which a camera and a projector detect each point of the object surface and computing the position of the points by triangulation. 2 However, a codification pattern on the projector slide plane is needed to illuminate the object under test and establish point correspondences between the camera image plane and the projector slide plane. 3 Several codification patterns, such as binary, 4 gray-code, 5 and De Bruijn 6,7 have been reported.…”

Section: Introductionmentioning

confidence: 99%

First-order spectrum filtering in Fourier transform profilometry: a method comparison

Esquivel-Hernandez,

Juarez-Salazar,

Diaz-Ramirez

2023

Optics and Photonics for Information Processing XVII

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Fourier Transform Profilometry (FTP) is a powerful 3D reconstruction method based on structured-light projection suitable for dynamic shape measurements. A main feature of FTP is that it works using a single fringe pattern. However, the quality of the 3D reconstruction largely depends on the accuracy of first-order spectrum filtering. This work compares some representative spectrum filtering methods in different simulated situations, highlighting advantages and drawbacks. This study provides a reference for the practical implementation of a FTP system.

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“…3 In this way, the points observed by the system are computed by triangulation. 4,5 In this process, however, the parameters of the camera and projector must be precisely known by a previous calibration. 6 Calibration is a process that involves using points of the space and their correspondences on the image/slide plane of the camera/projector device.…”

Section: Introductionmentioning

confidence: 99%

“…The experimental data employed in this study has been made available in Ref. 19 Section 4 concludes this work by encouraging further research on partial calibration including lens radial distortion.…”

Section: Introductionmentioning

confidence: 99%

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Fringe projection profilometry without explicit projector calibration

Juarez-Salazar,

Esquivel-Hernandez,

Zheng Wu

et al. 2023

Optics and Photonics for Information Processing XVII

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Metric three-dimensional reconstruction by fringe projection profilometry requires calibrating the employed camera and projector. However, the calibration process is more difficult for projectors than for cameras. This work presents a reconstruction method where the projector parameters are not required explicitly. For this, we assume the projector follows the pinhole model and single-axis fringe projection is employed. The theoretical principles are explained, and the proposed method is validated experimentally by a metric three-dimensional reconstruction. The results provide a theoretical framework for further generalization, including implicit camera calibration and lens distortion, while keeping the metric reconstruction capability.

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Three‐dimensional spatial point computation in fringe projection profilometry

Cited by 14 publications

References 46 publications

Vision-based pose estimation for robot navigation in an uncontrolled environment

Vision-based pose estimation for robot navigation in an uncontrolled environment

First-order spectrum filtering in Fourier transform profilometry: a method comparison

Fringe projection profilometry without explicit projector calibration

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