On surface topography reconstruction from gradient fields

Toni Kuparinen*, Ville Kyrki, Jarno Mielikainen, Pekka Toivanen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose and study surface reconstruction techniques for surfaces with high frequency height variation, which are common for example, in paper and textile manufacturing. Traditionally, photometric stereo methods have been developed and evaluated on objects with additive Gaussian noise. The minimization based methods may perform well on large objects, but they smooth the inherent high frequency variation of machined surfaces in the reconstruction. We extend a Fourier integration method with Wiener filter to reconstruct surfaces from two gradient fields. The experimental results validate that the proposed method performs well on surfaces with high frequency height variation.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Image Processing - San Antonio, United States
Duration: 16 Sep 200719 Sep 2007
Conference number: 14

Conference

ConferenceIEEE International Conference on Image Processing
Abbreviated titleICIP
CountryUnited States
CitySan Antonio
Period16/09/200719/09/2007

Keywords

  • Fourier transform
  • Gradient fields
  • Surface reconstruction
  • Topography
  • Wiener filter

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