Anisotropic Lp poisson disk sampling for NPR image with adaptively shaped pieces

Tao Wang, Zhongying Hu, Kiichi Urahama

Research output: Contribution to journalArticle

Abstract

A non-photorealistic rendering technique is presented for generating images such as stippling images and paper mosaic images with various shapes of paper pieces. Paper pieces are spatially arranged by using an anisotropic L p poisson disk sampling. The shape of paper pieces is adaptively varied by changing the value of p. We demonstrate with experiments that edges and details in an input image are preserved by the pieces according to the anisotropy of their shape.

Original languageEnglish
Pages (from-to)1406-1409
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE96-D
Issue number6
DOIs
Publication statusPublished - Jan 1 2013

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Anisotropy
Sampling
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Cite this

Anisotropic Lp poisson disk sampling for NPR image with adaptively shaped pieces. / Wang, Tao; Hu, Zhongying; Urahama, Kiichi.

In: IEICE Transactions on Information and Systems, Vol. E96-D, No. 6, 01.01.2013, p. 1406-1409.

Research output: Contribution to journalArticle

Wang, Tao ; Hu, Zhongying ; Urahama, Kiichi. / Anisotropic Lp poisson disk sampling for NPR image with adaptively shaped pieces. In: IEICE Transactions on Information and Systems. 2013 ; Vol. E96-D, No. 6. pp. 1406-1409.
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