Inpainting for fringe projection profilometry based on iterative regularization

B. Budianto, Pak Kong Lun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 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 languageEnglish
Title of host publication2014 19th International Conference on Digital Signal Processing, DSP 2014
PublisherIEEE
Pages668-672
Number of pages5
Volume2014-January
ISBN (Electronic)9781479946129
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong
Duration: 20 Aug 201423 Aug 2014

Conference

Conference2014 19th International Conference on Digital Signal Processing, DSP 2014
CountryHong Kong
CityHong Kong
Period20/08/1423/08/14

Keywords

  • Dual-tree complex wavelet transform
  • Fringe projection profilometry
  • Iterative regularization

ASJC Scopus subject areas

  • Signal Processing

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