ACM Home Page
Please provide us with feedback. Feedback
MotionMaster: authoring and choreographing Kung-fu motions by sketch drawings
Full text PdfPdf (357 KB)
Source Symposium on Computer Animation archive
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
Vienna, Austria
SESSION: Animation systems table of contents
Pages: 233 - 241  
Year of Publication: 2006
ISBN ~ ISSN:1727-5288 , 3-905673-34-7
Authors
Q. L. Li  Zhejiang University, PR China
W. D. Geng  Zhejiang University, PR China
T. Yu  Zhejiang University, PR China
X. J. Shen  Zhejiang University, PR China
N. Lau  The Hong Kong Polytechnic University, HK SAR
G. Yu  The Hong Kong Polytechnic University, HK SAR
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Eurographics: Eurographics
Publisher
Eurographics Association  Aire-la-Ville, Switzerland, Switzerland
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 72,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

Sketch-drawings is an intuitive and comprehensive means of conveying movement ideas in character animation. We proposed a novel sketch-based approach to assisting the authoring and choreographing of Kungfu motions at the early stage of animation creation. Given two human figure sketches corresponding to the initial and closing posture of a Kungfu form, and the trajectory drawings on specific moving joints, MotionMaster can directly rapid-prototype the realistic 3D motion sequence by sketch-based motion retrieval and refinement based on a motion database. The animators can then preview and evaluate the recovered motion sequence from any viewing angles. After the 3D motion sequence has been associated with the 2D sketch drawing, the animator can also interactively and iteratively make changes on the 2D sketch drawing, and the system will automatically transfer the 2D changes to the 3D motion data of current interests. It greatly helps the animator focus on the movement idea development during the evolutionary process of building motion data for articulated characters.


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
 
2
 
3
 
4
{CKB04} Chaudhuri P., Kalra P., Banerjee S.: A system for view-dependent animation. Computer Graphics Forum 23, 3 (2004), C411--C419.
5
 
6
{CWW*04} Chiu C. Y., Wu M. Y., Wu Y. C., Wu C. C., Yang S. N.: Retrieval and constraint-based human posture reconstruction from a single image. In Workshop on Modelling and Motion Capture Techniques for Virtual Environments (2004).
 
7
 
8
{DCR01} Difranco D., Cham T.-J., Rehg J.: Reconstruction of 3d figure motion from 2d correspondences. In IEEE Proceedings of Computer Vision and Pattern Recognition (2001), pp. 1-307--1-314.
 
9
 
10
{GY03} Geng W., Yu G.: Reuse of motion capture data in animation: a review. In Lecture notes in computer science 2669 (2003), pp. 620--629.
 
11
 
12
{JM04} Jin Y., Mokhtarian F.: Efficient video retrieval by motion trajectory. In Proceedings of British Machine Vision Conference (2004), pp. 667--676.
 
13
{LC85} Lee H.-J., Chen Z.: Determination of 3d human body postures from a single view. Computer Vision, Graphics, and Image Processing 30 (1985), 148--169.
 
14
 
15
{Osh04} Oshita M.: Pen-to-mime: A pen-based interface for interactive control of a human figure. In EUROGRAPHICS workshop on sketch-based interfaces and modeling (2004), pp. 43--52.
 
16
 
17
{RSR01} Rosales R., Siddiqui M., Rehg J.: Estimating 3d body pose using uncalibrated cameras. In IEEE Proceedings of Computer Vision and Pattern Recognition (2001), pp. 821--827.
 
18
{SAB91} Sabiston W. R.: Extracting 3d motion from hand-drawn animated figures. In Master Thesis OF Massachusetts Institute of Technology (1991).
19
 
20
21
 
22
23

Collaborative Colleagues:
Q. L. Li: colleagues
W. D. Geng: colleagues
T. Yu: colleagues
X. J. Shen: colleagues
N. Lau: colleagues
G. Yu: colleagues