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

Tao Wang; Zhongying Hu; Kiichi Urahama

doi:10.1587/transinf.E96.D.1406

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

Tao Wang, Zhongying Hu, Kiichi Urahama

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	1406-1409
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E96-D
Issue number	6
DOIs	https://doi.org/10.1587/transinf.E96.D.1406
Publication status	Published - Jun 2013

All Science Journal Classification (ASJC) codes

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

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10.1587/transinf.E96.D.1406

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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.",

author = "Tao Wang and Zhongying Hu and Kiichi Urahama",

year = "2013",

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

Abstract

All Science Journal Classification (ASJC) codes

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