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

Tianqi Wang, Terumasa Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
出版社IEEE Computer Society
ページ2214-2218
ページ数5
ISBN(電子版)9781509021758
DOI
出版ステータスPublished - 2018 2 20
イベント24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
継続期間: 2017 9 172017 9 20

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2017-September
ISSN(印刷版)1522-4880

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
国/地域China
CityBeijing
Period17/9/1717/9/20

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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