Online fringe projection profilometry based on scale-invariant feature transform

Hongru Li; Guoying Feng; Peng Yang; Zhaomin Wang; Shouhuan Zhou; Anand Asundi

doi:10.1117/1.OE.55.8.084101

3 August 2016 Online fringe projection profilometry based on scale-invariant feature transform

Hongru Li, Guoying Feng, Peng Yang, Zhaomin Wang, Shouhuan Zhou, Anand Asundi

Author Affiliations +

Optical Engineering, Vol. 55, Issue 8, 084101 (August 2016). https://doi.org/10.1117/1.OE.55.8.084101

Abstract

An online fringe projection profilometry (OFPP) based on scale-invariant feature transform (SIFT) is proposed. Both rotary and linear models are discussed. First, the captured images are enhanced by “retinex” theory for better contrast and an improved reprojection technique is carried out to rectify pixel size while keeping the right aspect ratio. Then the SIFT algorithm with random sample consensus algorithm is used to match feature points between frames. In this process, quick response code is innovatively adopted as a feature pattern as well as object modulation. The characteristic parameters, which include rotation angle in rotary OFPP and rectilinear displacement in linear OFPP, are calculated by a vector-based solution. Moreover, a statistical filter is applied to obtain more accurate values. The equivalent aligned fringe patterns are then extracted from each frame. The equal step algorithm, advanced iterative algorithm, and principal component analysis are eligible for phase retrieval according to whether the object moving direction accords with the fringe direction or not. The three-dimensional profile of the moving object can finally be reconstructed. Numerical simulations and experimental results verified the validity and feasibility of the proposed method.

Citation Download Citation

Hongru Li, Guoying Feng, Peng Yang, Zhaomin Wang, Shouhuan Zhou, and Anand Asundi "Online fringe projection profilometry based on scale-invariant feature transform," Optical Engineering 55(8), 084101 (3 August 2016). https://doi.org/10.1117/1.OE.55.8.084101

Published: 3 August 2016

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