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

Sofia Esquivel-Hernandez; Rigoberto Juarez-Salazar; Victor H. Diaz-Ramirez

doi:10.1117/12.2677117

4 October 2023 First-order spectrum filtering in Fourier transform profilometry: a method comparison

Sofia Esquivel-Hernandez, Rigoberto Juarez-Salazar, Victor H. Diaz-Ramirez

Proceedings Volume 12673, Optics and Photonics for Information Processing XVII; 1267308 (2023) https://doi.org/10.1117/12.2677117
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

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.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sofia Esquivel-Hernandez, Rigoberto Juarez-Salazar, and Victor H. Diaz-Ramirez "First-order spectrum filtering in Fourier transform profilometry: a method comparison", Proc. SPIE 12673, Optics and Photonics for Information Processing XVII, 1267308 (4 October 2023); https://doi.org/10.1117/12.2677117

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