Stylized Rendering of Yunnan Heavy Color Painting | IEEE Conference Publication | IEEE Xplore

Stylized Rendering of Yunnan Heavy Color Painting


Abstract:

A research on stylized rendering of Yunnan heavy color painting is attempted in this paper. First, plentiful Yunnan heavy color paintings are collected. Texture patches a...Show More

Abstract:

A research on stylized rendering of Yunnan heavy color painting is attempted in this paper. First, plentiful Yunnan heavy color paintings are collected. Texture patches are extracted from these paintings and a texture library is constructed. The technique of edge detection in image space is used to extract the outline from photographic image and produce an outline drawing. The photographic image is divided into several regions on which we synthesize with texture patches chosen from texture library. Last, the synthesized image and outline drawing are fused to obtain a stylized painting with Yunnan heavy color painting style.
Date of Conference: 20-22 December 2008
Date Added to IEEE Xplore: 06 January 2009
Print ISBN:978-0-7695-3497-8
Conference Location: Shanghai, China
Citations are not available for this document.

1. Introduction

In 1990, Haelber [1] published a famous paper, Paint by Numbers: Abstract Image Representations, which indicated the Non-Photorealistic Rendering mounting the history stage. Thence, Non-Photorealistic Rendering (NPR) has become a research hotspot and received more and more attention in the past decade.

Cites in Papers - |

Cites in Papers - IEEE (1)

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1.
Chengyu Zheng, Yuan Zhang, "Two-Stage Color ink Painting Style Transfer via Convolution Neural Network", 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN), pp.193-200, 2018.

Cites in Papers - Other Publishers (1)

1.
M. P. Pavan Kumar, B. Poornima, H. S. Nagendraswamy, C. Manjunath, "A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization", Iran Journal of Computer Science, vol.2, no.3, pp.131, 2019.
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