Name
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茂戮驴 Fleshing-out茂戮驴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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73214-3_24 | Smart Graphics |
Keywords | Field | DocType |
articulated figure animation,npr animation,figure drawing,animated virtual human,sketch-based crowd animation,sketch-based virtual human modelling,mesh model animation,current system,animation efficiency,overall system design,character animation,storyboarding,human perception,human body,system design,virtual human | Interactive skeleton-driven simulation,Computer science,Stick figure,Character animation,Non-photorealistic rendering,Human–computer interaction,Skeletal animation,Computer facial animation,Artificial intelligence,Computer vision,Animation,Computer animation,Multimedia | Conference |
Volume | ISSN | Citations |
4569 | 0302-9743 | 4 |
PageRank | References | Authors |
0.40 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Mao | 1 | 25 | 3.05 |
| Sheng Feng Qin | 2 | 28 | 6.24 |
| David Wright | 3 | 9 | 2.23 |