Title
Sketching-Out Virtual Humans: A Smart Interface for Human Modelling and Animation
Abstract
In this paper, we present a fast and intuitive interface for sketching out 3D virtual humans and animation. The user draws stick figure key frames first and chooses one for "fleshing-out" with freehand body contours. The system automatically constructs a plausible 3D skin surface from the rendered figure, and maps it onto the posed stick figures to produce the 3D character animation. A "creative model-based method" is developed, which performs a human perception process to generate 3D human bodies of various body sizes, shapes and fat distributions. In this approach, an anatomical 3D generic model has been created with three distinct layers: skeleton, fat tissue, and skin. It can be transformed sequentially through rigid morphing, fatness morphing, and surface fitting to match the original 2D sketch. An auto-beautification function is also offered to regularise the 3D asymmetrical bodies from users' imperfect figure sketches. Our current system delivers character animation in various forms, including articulated figure animation, 3D mesh model animation, 2D contour figure animation, and even 2D NPR animation with personalised drawing styles. The 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_4
Smart Graphics
Keywords
Field
DocType
articulated figure animation,contour figure animation,stick figure,various body size,smart interface,character animation,npr animation,mesh model animation,imperfect figure sketch,sketching-out virtual humans,current system,human modelling,figure key frame,human perception,virtual human,morphing,human body
Computer graphics (images),Computer science,Stick figure,Character animation,Computer facial animation,Artificial intelligence,Skeletal animation,Computer vision,Morphing,Animation,Computer animation,Multimedia,Human Modelling
Conference
Volume
ISSN
Citations 
4569
0302-9743
1
PageRank 
References 
Authors
0.36
13
3
Name
Order
Citations
PageRank
Chen Mao1253.05
Sheng Feng Qin2286.24
David Wright392.23