Título |
Fringe-Pattern Demodulation Using a Parametric Method Based on Differential Evolution |
Tipo |
Congreso |
Sub-tipo |
SCOPUS |
Descripción |
Lecture Notes in Computer Science; Mexican Conference on Pattern Recognition 2010 |
Resumen |
A parametric method to carry out fringe pattern demodulation by means of Differential Evolution is presented. The phase is approximated by the parametric estimation of an nth-grade polynomial so that no further unwrapping is required. On the other hand, a different parametric function can be chosen according to the prior knowledge of the phase behavior. A differential evolution is codified with the parameters of the function that estimates the phase. The differential evolution evolves until a fitness average threshold is obtained. The method can demodulate noisy fringe patterns and even a one-image closed-fringe pattern successfully. |
Observaciones |
Advances in Pattern Recognition, MCPR 2010; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 83510 |
Lugar |
Puebla |
País |
Mexico |
No. de páginas |
61-70 |
Vol. / Cap. |
6256 |
Inicio |
2010-09-27 |
Fin |
2010-09-29 |
ISBN/ISSN |
978-3-642-15991-6 |