Real-time parallel method for quadrature transform estimation and 3D surface measurement

Arturo Espinosa-Romero; Ricardo Legarda-Saenz

doi:10.1117/12.902175

2 November 2011 Real-time parallel method for quadrature transform estimation and 3D surface measurement

Arturo Espinosa-Romero, Ricardo Legarda-Saenz

Proceedings Volume 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World; 80117A (2011) https://doi.org/10.1117/12.902175
Event: International Commission for Optics (ICO 22), 2011, Puebla, Mexico

Abstract

A massively parallel real-time algorithm for the estimation the dynamic phase map of a vibrating object is presented. The algorithm implements a Fourier-based quadrature transform and temporal phase unwrapping technique, and was implemented using CUDA, a general purpose computing and development environment for NVIDA GPU's. The algorithm was tested on a 64 × 640 fringe patterns sequence achieving a processing rate higher than 2270 frames per second (fps).

Citation Download Citation

Arturo Espinosa-Romero and Ricardo Legarda-Saenz "Real-time parallel method for quadrature transform estimation and 3D surface measurement", Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80117A (2 November 2011); https://doi.org/10.1117/12.902175

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available