Inpainting for fringe projection profilometry based on iterative regularization

B. Budianto; Pak Kong Lun

doi:10.1109/ICDSP.2014.6900748

Inpainting for fringe projection profilometry based on iterative regularization

B. Budianto, Pak Kong Lun

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

This paper presents a new inpainting algorithm for fringe projection profilometry (FPP) based on the iterative regularization technique. Conventional FPP approach often cannot accurately reconstruct the 3D model of objects in the presence of highlights on the object surface. In the proposed method, the highlight regions are detected using the analytic complex wavelet transform. Then based on an iterative regularization model, the missing fringe pattern can be recovered by filling the corresponding highlight area in the complex wavelet domain. Simulation and experiments were carried out using synthetic and real objects in different lighting conditions. Experimental results show that the proposed algorithm can accurately reconstruct the 3D model of the object with highlight regions.

Original language	English
Title of host publication	2014 19th International Conference on Digital Signal Processing, DSP 2014
Publisher	IEEE
Pages	668-672
Number of pages	5
Volume	2014-January
ISBN (Electronic)	9781479946129
DOIs	https://doi.org/10.1109/ICDSP.2014.6900748
Publication status	Published - 1 Jan 2014
Event	2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong Duration: 20 Aug 2014 → 23 Aug 2014

Conference

Conference	2014 19th International Conference on Digital Signal Processing, DSP 2014
Country/Territory	Hong Kong
City	Hong Kong
Period	20/08/14 → 23/08/14

Keywords

Dual-tree complex wavelet transform
Fringe projection profilometry
Iterative regularization

ASJC Scopus subject areas

Signal Processing

More information

10.1109/ICDSP.2014.6900748

Cite this

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title = "Inpainting for fringe projection profilometry based on iterative regularization",

abstract = "This paper presents a new inpainting algorithm for fringe projection profilometry (FPP) based on the iterative regularization technique. Conventional FPP approach often cannot accurately reconstruct the 3D model of objects in the presence of highlights on the object surface. In the proposed method, the highlight regions are detected using the analytic complex wavelet transform. Then based on an iterative regularization model, the missing fringe pattern can be recovered by filling the corresponding highlight area in the complex wavelet domain. Simulation and experiments were carried out using synthetic and real objects in different lighting conditions. Experimental results show that the proposed algorithm can accurately reconstruct the 3D model of the object with highlight regions.",

keywords = "Dual-tree complex wavelet transform, Fringe projection profilometry, Iterative regularization",

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Budianto, B & Lun, PK 2014, Inpainting for fringe projection profilometry based on iterative regularization. in 2014 19th International Conference on Digital Signal Processing, DSP 2014. vol. 2014-January, 6900748, IEEE, pp. 668-672, 2014 19th International Conference on Digital Signal Processing, DSP 2014, Hong Kong, Hong Kong, 20/08/14. https://doi.org/10.1109/ICDSP.2014.6900748

Inpainting for fringe projection profilometry based on iterative regularization. / Budianto, B.; Lun, Pak Kong.
2014 19th International Conference on Digital Signal Processing, DSP 2014. Vol. 2014-January IEEE, 2014. p. 668-672 6900748.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Inpainting for fringe projection profilometry based on iterative regularization

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AU - Lun, Pak Kong

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Y1 - 2014/1/1

N2 - This paper presents a new inpainting algorithm for fringe projection profilometry (FPP) based on the iterative regularization technique. Conventional FPP approach often cannot accurately reconstruct the 3D model of objects in the presence of highlights on the object surface. In the proposed method, the highlight regions are detected using the analytic complex wavelet transform. Then based on an iterative regularization model, the missing fringe pattern can be recovered by filling the corresponding highlight area in the complex wavelet domain. Simulation and experiments were carried out using synthetic and real objects in different lighting conditions. Experimental results show that the proposed algorithm can accurately reconstruct the 3D model of the object with highlight regions.

AB - This paper presents a new inpainting algorithm for fringe projection profilometry (FPP) based on the iterative regularization technique. Conventional FPP approach often cannot accurately reconstruct the 3D model of objects in the presence of highlights on the object surface. In the proposed method, the highlight regions are detected using the analytic complex wavelet transform. Then based on an iterative regularization model, the missing fringe pattern can be recovered by filling the corresponding highlight area in the complex wavelet domain. Simulation and experiments were carried out using synthetic and real objects in different lighting conditions. Experimental results show that the proposed algorithm can accurately reconstruct the 3D model of the object with highlight regions.

KW - Dual-tree complex wavelet transform

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KW - Iterative regularization

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M3 - Conference article published in proceeding or book

VL - 2014-January

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BT - 2014 19th International Conference on Digital Signal Processing, DSP 2014

PB - IEEE

T2 - 2014 19th International Conference on Digital Signal Processing, DSP 2014

Y2 - 20 August 2014 through 23 August 2014

ER -

Inpainting for fringe projection profilometry based on iterative regularization

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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