Online 3D measurement by an efficient iterative algorithm

Jorge L. Flores; Antonio Muñoz; Marija Strojnik; Sotero Ordoñes; Adan Cruz; G. Garcia-Torales

doi:10.1117/12.2275372

30 August 2017 Online 3D measurement by an efficient iterative algorithm

Jorge L. Flores, Antonio Muñoz, Marija Strojnik, Sotero Ordoñes, Adan Cruz, G. Garcia-Torales

Proceedings Volume 10403, Infrared Remote Sensing and Instrumentation XXV; 1040313 (2017) https://doi.org/10.1117/12.2275372
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

In this work, we propose a novel technique to retrieve the 3D shape of dynamic objects by the simultaneous projection of a fringe pattern and a homogeneous white light pattern that are both coded in an RGB image. The first one is used to retrieve the phase-map by an iterative least-squares method. The last one is used to match pixels from the object in consecutive images, which are acquired at various positions. The proposal successfully full fills the requirement of projecting different frequency fringes. One extracts the object’s information and the other retrieves the phase-map. Experimental results show the feasibility of the proposed scheme.

Citation Download Citation

Jorge L. Flores, Antonio Muñoz, Marija Strojnik, Sotero Ordoñes, Adan Cruz, and G. Garcia-Torales "Online 3D measurement by an efficient iterative algorithm", Proc. SPIE 10403, Infrared Remote Sensing and Instrumentation XXV, 1040313 (30 August 2017); https://doi.org/10.1117/12.2275372

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KEYWORDS

3D metrology

3D image processing

Fringe analysis

Optical metrology

Phase shifting

Phase shifts

Remote sensing

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