Multicolor removal based on color lines and improved hough transform for SFS

Tianqi Wang, Terumasa Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Constant albedo of surface is an important premise widely used for Shape from Shading(SFS). Since it is not satisfied when the surface is in multicolor, the application of SFS methods are very limited. In this paper we introduce a novel method for gray-scale transformation as a preprocess of SFS methods, which removes intensity differences between colors. First we cluster the pixels based on color using an improved Hough Transform approach, and generate Color Lines to describe color information. Then the color is adjusted using Color Lines, and the multicolor image is converted into gray-scale without sudden change of intensity between regions in different color. Experimental results show that our method outperforms existing methods such as linear luminance when 3D models are reconstructed by SFS.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Pages2214-2218
Number of pages5
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 2018 Feb 20
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 2017 Sep 172017 Sep 20

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2017-September
ISSN (Print)1522-4880

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
Country/TerritoryChina
CityBeijing
Period17/9/1717/9/20

Keywords

  • Color Lines
  • Gray-scale
  • Hough Transform
  • SFS

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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