Discrete cosine transform based shift estimation for fringe pattern profilometry using generalized analysis model

Authors

Jose F. Chicharo, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow
Yingsong HuFollow
Zongkai Yang, Huazhong University of Science and Technology
Enbang Li, University of WollongongFollow

RIS ID

17509

Publication Details

Hu, Y., Xi, J., Chicharo, J. F., Li, E. and Yang, Z. (2006). Discrete cosine transform based shift estimation for fringe pattern profilometry using generalized analysis model. Applied Optics, 45 (25), 6560-6567.

Abstract

This paper presents a new analysis algorithm to carry out profile measure- ment with low computational complexity and less noise-sensitivity. Firstly, a discrete cosine transform (DCT) based representation method is introduced to express the height distribution of the three-dimensional surface. Then, a novel shift estimation algorithm, called DCT based shift estimation (DCT-SE) is presented to reconstruct three-dimensional object surfaces by using the proposed expression and the generalized analysis model. The advantage of DCT-SE is that without loss of measurement precise it provides lower computational complexity to implement three-dimensional reconstruction from distorted fringe patterns and at the same time survives from random noises. Simulations and experiments show that the proposed DCT-SE is a fast, accurate and efficient reconstruction algorithm for digital projection based fringe pattern profilometry techniqu