|
ABSTRACT
There are many applications for which it is necessary to illustrate motion in a static image using visual cues which do not represent a physical entity in the scene, yet are widely understood to convey motion. For example, consider the task of illustrating the desired movements for exercising, dancing, or a given sport technique. Traditional artists have developed techniques to specify desired movements precisely (technical illustrators) and suggest motion (cartoonists) in an image. In this paper, we present an interactive system to synthesize a 2D image of an animated character by generating artist-inspired motion cues derived from 3D skeletal motion capture data. The primary cues include directed arrows, noise waves, and stroboscopic motion. First, the user decomposes the animation into short sequences containing individual motions which can be represented by visual cues. The system then allows the user to determine a suitable viewpoint for illustrating the movement, to select the proper level in the joint hierarchy, as well as to fine-tune various controls for the depiction of the cues themselves. While the system does provide adapted default values for each control, extracted from the motion capture data, it allows fine-tuning for greater expressiveness. Moreover, these cues are drawn in real time, and maintain a coherent display with changing viewpoints. We demonstrate the benefit of our interactive system on various motion capture sequences.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
 |
1
|
Aseem Agarwala , Mira Dontcheva , Maneesh Agrawala , Steven Drucker , Alex Colburn , Brian Curless , David Salesin , Michael Cohen, Interactive digital photomontage, ACM Transactions on Graphics (TOG), v.23 n.3, August 2004
|
 |
2
|
Maneesh Agrawala , Doantam Phan , Julie Heiser , John Haymaker , Jeff Klingner , Pat Hanrahan , Barbara Tversky, Designing effective step-by-step assembly instructions, ACM Transactions on Graphics (TOG), v.22 n.3, July 2003
|
 |
3
|
|
| |
4
|
Jernej Barbič , Alla Safonova , Jia-Yu Pan , Christos Faloutsos , Jessica K. Hodgins , Nancy S. Pollard, Segmenting motion capture data into distinct behaviors, Proceedings of Graphics Interface 2004, p.185-194, May 17-19, 2004, London, Ontario, Canada
|
| |
5
|
|
 |
6
|
|
 |
7
|
|
 |
8
|
|
| |
9
|
Collomosse, J. P., and Hall, P. M. 2005. Motion analysis in video: Dolls, dynamic cues and modern art. In Proc. International Conference on Vision, Video and Graphics, 109--116.
|
| |
10
|
|
| |
11
|
Collomosse, J. P. 2004. Higher Level Techniques for the Artistic Rendering of Images and Video. PhD thesis, University of Bath, United Kingdom.
|
| |
12
|
Cutting, J. E. 2002. Representing motion in a static image: constraints and parallels in art, science, and popular culture. Perception 31, 10, 1165--1193.
|
| |
13
|
Dony, R., Mateer, J., and Robinson, J. 2005. Techniques for automated reverse storyboarding. IEE Journal of Vision, Image & Signal Processing 152, 4, 425--436.
|
| |
14
|
Eisner, W. 1985. Comics And Sequential Art. Poorhouse Press.
|
| |
15
|
|
 |
16
|
|
 |
17
|
|
| |
18
|
Hart, J. 1999. The Art of the Storyboard: storyboarding for file, TV and animation. Focal Press.
|
 |
19
|
Julie Heiser , Doantam Phan , Maneesh Agrawala , Barbara Tversky , Pat Hanrahan, Identification and validation of cognitive design principles for automated generation of assembly instructions, Proceedings of the working conference on Advanced visual interfaces, May 25-28, 2004, Gallipoli, Italy
[doi> 10.1145/989863.989917]
|
 |
20
|
|
| |
21
|
Hutchinson, A. 1984. Dance Notation: the process of recording movement on paper. Dance Horizons.
|
| |
22
|
Joshi, A., and Rheingans, P. 2005. Illustration-inspired techniques for visualizing time-varying data. In Proc. IEEE Visualization '05, 679--686.
|
| |
23
|
Kawagishi, Y., Hatsuyama, K., and Kondo, K. 2003. Cartoon blur: Non-photorealistic motion blur. In Proc. Computer Graphics International '03, 276--281.
|
 |
24
|
|
 |
25
|
|
 |
26
|
Adam Lake , Carl Marshall , Mark Harris , Marc Blackstein, Stylized rendering techniques for scalable real-time 3D animation, Proceedings of the 1st international symposium on Non-photorealistic animation and rendering, p.13-20, June 05-07, 2000, Annecy, France
[doi> 10.1145/340916.340918]
|
 |
27
|
|
 |
28
|
Maic Masuch , Stefan Schlechtweg , Ronny Schulz, Speedlines: depicting motion in motionless pictures, ACM SIGGRAPH 99 Conference abstracts and applications, p.277, August 08-13, 1999, Los Angeles, California, United States
[doi> 10.1145/311625.312369]
|
| |
29
|
McCloud, S. 1993. Understanding Comics-The Invisible Art. Kitchen Sink Press.
|
 |
30
|
|
| |
31
|
Nienhaus, M., and Döllner, J. 2003. Dynamic glyphs - Depicting dynamics in images of 3D scenes. In Proc. Symposium on Smart Graphics '03, 102--111.
|
| |
32
|
|
 |
33
|
|
 |
34
|
|
 |
35
|
|
| |
36
|
|
 |
37
|
|
 |
38
|
|
| |
39
|
Williams, R. 2001. The Animator's Survival Kit. Faber and Faber Limited.
|
|