Motion normalization: the preprocess of motion data

ABSTRACT

In this paper, we present an online algorithm to normalize all motion data in database with a common skeleton length. Our algorithm is very simple and efficient. The input motion stream is processed sequentially while the computation for a single frame at each step requires only the results from the previous step over a neighborhood of nearby backward frames. In contrast to previous motion retargeting approaches, we simplify the constraint condition of retargeting problem, which leads to the simpler solutions. Moreover, we improve Shin et al.'s algorithm [10], which is adopted by a widely used Kovar's footskate cleanup algorithm [6] through adding one case missed by it.

REFERENCES

• 1: Armin Bruderlin , Lance Williams, Motion signal processing, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, p.97-104, September 1995 [doi>10.1145/218380.218421]
• 2: Andrew Witkin , Zoran Popovic, Motion warping, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, p.105-108, September 1995 [doi>10.1145/218380.218422]
• 3: CMU. Carnegie-Mellon Mocap Database. 2003, http://mocap.cs.cmu.edu.
• 4: Lucas Kovar , Michael Gleicher , Frédéric Pighin, Motion graphs, Proceedings of the 29th annual conference on Computer graphics and interactive techniques, July 23-26, 2002, San Antonio, Texas
• 5: Michael Gleicher, Retargetting motion to new characters, Proceedings of the 25th annual conference on Computer graphics and interactive techniques, p.33-42, July 1998 [doi>10.1145/280814.280820]
• 6: Lucas Kovar , John Schreiner , Michael Gleicher, Footskate cleanup for motion capture editing, Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation, July 21-22, 2002, San Antonio, Texas [doi>10.1145/545261.545277]
• 7: Jessica K. Hodgins , Nancy S. Pollard, Adapting simulated behaviors for new characters, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, p.153-162, August 1997 [doi>10.1145/258734.258822]
• 8: Pollard, N.S.: Simple Machines for Scaling Human Motion, In: Eurographics Workshop on Animation and Simulation, Milan, Italy, ISBN 3-211-83392-7, 1999
• 9: Jehee Lee , Sung Yong Shin, A hierarchical approach to interactive motion editing for human-like figures, Proceedings of the 26th annual conference on Computer graphics and interactive techniques, p.39-48, July 1999 [doi>10.1145/311535.311539]
• 10: Hyun Joon Shin , Jehee Lee , Sung Yong Shin , Michael Gleicher, Computer puppetry: An importance-based approach, ACM Transactions on Graphics (TOG), v.20 n.2, p.67-94, April 2001 [doi>10.1145/502122.502123]
• 11: Peter Bodik. Automatic footplant detection inside flmoview. Student Summer Project Report Web Page. http://www.cs.wisc.edu/graphics/Gallery/PeterBodik/

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.3 COMPUTER GRAPHICS
      I.3.7 Three-Dimensional Graphics and Realism

General Terms:
Algorithms

Keywords:
motion capture, motion normalization, motion retargeting