Sketch-Based Virtual Human Modelling and Animation

Mao, Chen, Qin, Sheng-feng and Wright, David (2007) Sketch-Based Virtual Human Modelling and Animation. In: Smart Graphics. Lecture Notes in Computer Science, 4569 . Springer, pp. 220-223. ISBN 978-3-540-73213-6

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Official URL: http://dx.doi.org/10.1007/978-3-540-73214-3_24

Abstract

Animated virtual humans created by skilled artists play a remarkable role in today’s public entertainment. However, ordinary users are still treated as audiences due to the lack of appropriate expertise, equipment, and computer skills. We developed a new method and a novel sketching interface, which enable anyone who can draw to “sketch-out” 3D virtual humans and animation.
We devised a “Stick Figure→ Fleshing-out→Skin Mapping” graphical pipeline, which decomposes the complexity of figure drawing and considerably boosts the modelling and animation efficiency. We developed a gesture-based method for 3D pose reconstruction from 2D stick figure drawings. We investigated a “Creative Model-based Method”, which performs a human perception process to transfer users’ 2D freehand sketches into 3D human bodies of various body sizes, shapes and fat distributions. Our current system supports character animation in various forms including articulated figure animation, 3D mesh model animation, and 2D contour/NPR animation with personalised drawing styles. Moreover, this interface also supports sketch-based crowd animation and 2D storyboarding of 3D multiple character interactions. A preliminary user study was conducted to support the overall system design. Our system has been formally tested by various users on Tablet PC. After minimal training, even a beginner can create vivid virtual humans and animate them within minutes.

Item Type: Book Section
Additional Information: Proceedings of the 8th International Symposium, SG 2007, held in Kyoto, Japan, from 25-27 June 2007.
Subjects: G400 Computer Science
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: Paul Burns
Date Deposited: 20 Mar 2014 10:47
Last Modified: 24 Oct 2017 08:20
URI: http://nrl.northumbria.ac.uk/id/eprint/15858

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