Illumination-preserving embroidery simulation for non-photorealistic rendering

Qiqi Shen, Dele Cui, Yun Sheng, Guixu Zhang

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

9 Scopus citations

Abstract

We present an illumination-preserving embroidery simulation method for Non-photorealistic Rendering (NPR). Our method turns an image into the embroidery style with its illumination preserved by intrinsic decomposition. This illumination-preserving feature makes our method distinctive from the previous papers, eliminating their problem of inconsistent illumination. In our method a two-dimensional stitch model is developed with some most commonly used stitch patterns, and the input image is intrinsically decomposed into a reflectance image and its corresponding shading image. The Chan-Vese active contour is adopted to segment the input image into regions, from which parameters are derived for stitch patterns. Appropriate stitch patterns are applied back onto the base material region-by-region and rendered with the intrinsic shading of the input image. Experimental results show that our method is capable of performing fine embroidery simulations, preserving the illumination of the input image.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 23rd International Conference, MMM 2017, Proceedings
EditorsCathal Gurrin, Björn Thór Jónsson, Laurent Amsaleg, Shin’ichi Satoh, Gylfi Thór Gudmundsson
PublisherSpringer Verlag
Pages233-244
Number of pages12
ISBN (Print)9783319518138
DOIs
StatePublished - 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10133 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Embroidery simulation
  • Image processing
  • Intrinsic shading
  • Multimedia signal processing
  • Non-photorealistic rendering

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