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A study of how Chinese ink painting ...

Cao, Muning.

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A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering./
Author:	Cao, Muning.
Description:	76 p.
Notes:	Source: Masters Abstracts International, Volume: 56-01.
Contained By:	Masters Abstracts International56-01(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10146273
ISBN:	9781369016352

A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering.
Cao, Muning.

A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering. - 76 p.

Source: Masters Abstracts International, Volume: 56-01.

Thesis (M.S.)--Purdue University, 2016.

Past research findings addressed mature techniques for non-photorealistic rendering. However, research findings indicate that there is little information dealing with efficient methods to simulate Chinese ink painting features in rendering 3D scenes. Considering that Chinese ink painting has achieved many worldwide awards, the potential to effectively and automatically develop 3D animations and games in this style indicates a need for the development of appropriate technology for the future market.

ISBN: 9781369016352Subjects--Topical Terms:

523869
Computer science.

A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering.
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020 $a 9781369016352
035 $a (MiAaPQ)AAI10146273
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100 1 $a Cao, Muning. $3 3277878
245 1 2 $a A study of how Chinese ink painting features can be applied to 3D scenes and models in real-time rendering.
300 $a 76 p.
500 $a Source: Masters Abstracts International, Volume: 56-01.
500 $a Adviser: Tim McGraw.
502 $a Thesis (M.S.)--Purdue University, 2016.
520 $a Past research findings addressed mature techniques for non-photorealistic rendering. However, research findings indicate that there is little information dealing with efficient methods to simulate Chinese ink painting features in rendering 3D scenes. Considering that Chinese ink painting has achieved many worldwide awards, the potential to effectively and automatically develop 3D animations and games in this style indicates a need for the development of appropriate technology for the future market.
520 $a The goal of this research is about rendering 3D meshes in a Chinese ink painting style which is both appealing and realistic. Specifically, how can the output image appear similar to a hand-drawn Chinese ink painting. And how efficient does the rendering pipeline have to be to result in a real-time scene.
520 $a For this study the researcher designed two rendering pipelines for static objects and moving objects in the final scene. The entire rendering process includes interior shading, silhouette extracting, textures integrating, and background rendering. Methodology involved the use of silhouette detection, multiple rendering passes, Gaussian blur for anti-aliasing, smooth step functions, and noise textures for simulating ink textures. Based on the output of each rendering pipeline, rendering process of the scene with best looking of Chinese ink painting style is illustrated in detail.
520 $a The speed of the rendering pipeline proposed by this research was tested. The framerate of the final scenes created with this pipeline was higher than 30fps, a level considered to be real-time. One can conclude that the main objective of the research study was met even though other methods for generating Chinese ink painting rendering are available and should be explored.
590 $a School code: 0183.
650 4 $a Computer science. $3 523869
650 4 $a Technical communication. $3 3172863
650 4 $a Design. $3 518875
690 $a 0984
690 $a 0643
690 $a 0389
710 2 $a Purdue University. $b Computer Graphics Technology. $3 2092981
773 0 $t Masters Abstracts International $g 56-01(E).
790 $a 0183
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10146273