ISBN
Formato digital
979-13-87837-54-9
Fecha de publicación
06-10-2025
Licencia
D. R. © Copyright 2025. Alma Y. Alanis, Jorge Galvez, Omar Avalos, Eduardo Méndez-Palos, Jorge D. Rios, Adriana Peña Perez-Negron & Gabriel Martínez Soltero
Todos los contenidos de esta obra se comparten bajo la licencia Creative Commons Atri-bución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0). Esto implica que no está autorizado el uso comercial de la obra original ni de las eventuales obras derivadas, las cuales deberán distribuirse bajo la misma licencia que rige la obra original. No obstante, se permite a terceros compartir el contenido siempre y cuando se reconozca debidamente la autoría y la publicación original en esta editorial.
Jorge A. Contreras
Weill Cornell Medicine
0000-0002-7281-4228
Jorge L. Flores
Universidad de Guadalajara
0000-0001-9946-9957
Sotero Ordones Nogales
Universidad de Guadalajara
0000-0001-5825-1169
Acerca de
A fringe projection profilometer is a system that retrieves tridimensional surface information by digital signal processing of sinusoidal patterns, projects and captures these patterns as they are being spatially modulated by an object. In this paper, we address the problem of calibrating the nonlinear intensity response of the projector, namely gamma distortion, by proposing a new calibration method that requires only a sinusoidal pattern to estimate the gamma factor. This value is used to generate and project the new set of fringe patterns for which we perform the inverse gamma compensation. We also compare the performance of the proposed method with the polynomial method and the least squares method. The numerical accuracy of these three models was compared by computer simulations, and we subsequently analyzed their performance in mitigating gamma distortion in experimental data. The results show the effectiveness of the proposed method in estimating and correcting gamma distortion.
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