Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61055
Title: Inpainting for fringe projection profilometry based on geometrically guided iterative regularization
Authors: Budianto
Lun, DPK 
Keywords: 3D model reconstruction
Fringe projection profilometry
Image inpainting
Iterative regularization
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2015, v. 24, no. 12, 7274711, p. 5531-5542 How to cite?
Journal: IEEE transactions on image processing 
Abstract: Conventional fringe projection profilometry methods often have difficulty in reconstructing the 3D model of objects when the fringe images have the so-called highlight regions due to strong illumination from nearby light sources. Within a highlight region, the fringe pattern is often overwhelmed by the strong reflected light. Thus, the 3D information of the object, which is originally embedded in the fringe pattern, can no longer be retrieved. In this paper, a novel inpainting algorithm is proposed to restore the fringe images in the presence of highlights. The proposed method first detects the highlight regions based on a Gaussian mixture model. Then, a geometric sketch of the missing fringes is made and used as the initial guess of an iterative regularization procedure for regenerating the missing fringes. The simulation and experimental results show that the proposed algorithm can accurately reconstruct the 3D model of objects even when their fringe images have large highlight regions. It significantly outperforms the traditional approaches in both quantitative and qualitative evaluations.
URI: http://hdl.handle.net/10397/61055
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2015.2481707
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Last Week
0
Last month
Citations as of Jul 21, 2017

WEB OF SCIENCETM
Citations

3
Last Week
0
Last month
Citations as of Jul 19, 2017

Page view(s)

7
Last Week
1
Last month
Checked on Jul 9, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.