DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS

Sindharta Tanuwijaya, Yoshio Ohno

Abstract

In recent years, the amount of mocap has accumulated due to its popularity in creating realistic human motions. However, such accumulation is yet to be accompanied by the development of a mocap search engine. In addition to the difficulty in processing mocap search, this phenomenon is also due to the problems in displaying mocap as search results, one of which is determining the camera position, orientation, and distance in displaying mocap. In this paper, we specify camera orientation and distance as constraints to determine camera positions by using available training data which are given as inputs into data mining techniques. In addition, we also discuss a method to select representative frames of mocap, thus allowing for the display of mocap search results as a list of sets of selected mocap frames. Finally, we employ a number of data mining techniques along with a simple method to determine the camera position which yields the widest projection area of a virtual face consisting hands and feet joints into the camera plane, and compare the results to each other.

References

  1. Arbel, T. and Ferrie, F. (1999). Viewpoint selection by navigation through entropy maps. pages 248-254.
  2. Assa, J., Caspi, Y., and Cohen-Or, D. (2005). Action synopsis: pose selection and illustration. ACM Trans. Graph., 24(3):667-676.
  3. Bares, W. H. and Lester, J. C. (1999). Intelligent multishot visualization interfaces for dynamic 3d worlds. In IUI 7899: Proceedings of the 4th international conference on Intelligent user interfaces, pages 119-126, New York, NY, USA. ACM.
  4. Bouvier-Zappa, S., Ostromoukhov, V., and Poulin, P. (2007). Motion cues for illustration of skeletal motion capture data. In NPAR 7807: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering, pages 133-140, New York, NY, USA. ACM.
  5. Cardle, M., Vlachos, M., Brooks, S., Keogh, E., and Gunopulos, D. (2003). Fast motion capture matching with replicated motion editing. Proceedings of SIGGRAPH 2003 - Sketches and Applications.
  6. Chiu, C., Chao, S., Wu, M., Yang, S., and Lin, H. (2004). Content-based retrieval for human motion data. 15(3):446-466.
  7. CMU (2007). CMU graphics lab motion capture database. Retrieved November 2007, from http://mocap.cs.cmu.edu/.
  8. David B. Christianson, Sean E. Anderson, L.-w. H. D. H. S. D. S. W. M. F. C. (1996). Declarative camera control for automatic cinematography. unknown.
  9. Drucker, S. M. and Zeltzer, D. (1995). Camdroid: a system for implementing intelligent camera control. In SI3D 7895: Proceedings of the 1995 symposium on Interactive 3D graphics, pages 139-144, New York, NY, USA. ACM.
  10. Forbes, K. and Fiume, E. (2005). An efficient search algorithm for motion data using weighted pca. In SCA 7805: Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pages 67-76, New York, NY, USA. ACM.
  11. Google (2008). Google search.
  12. Hachimura, K. and Nakamura, M. (2001). Method of generating coded description of human body motion from motion-captured data. In Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop, pages 122-127, Bordeaux, Paris, France.
  13. He, L., Cohen, M. F., and Salesin, D. H. (1996). The virtual cinematographer: a paradigm for automatic realtime camera control and directing. In SIGGRAPH 7896:
Download


Paper Citation


in Harvard Style

Tanuwijaya S. and Ohno Y. (2009). DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS . In Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009) ISBN 978-989-8111-67-8, pages 266-273. DOI: 10.5220/0001769202660273


in Bibtex Style

@conference{grapp09,
author={Sindharta Tanuwijaya and Yoshio Ohno},
title={DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS},
booktitle={Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)},
year={2009},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001769202660273},
isbn={978-989-8111-67-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2009)
TI - DATA MINING APPROACH FOR POSITIONING CAMERA IN DISPLAYING MOCAP SEARCH RESULTS
SN - 978-989-8111-67-8
AU - Tanuwijaya S.
AU - Ohno Y.
PY - 2009
SP - 266
EP - 273
DO - 10.5220/0001769202660273