APPLICATION OF A HIGH-SPEED STEREOVISION SENSOR TO 3D SHAPE ACQUISITION OF FLYING BATS

Yijun Xiao, Robert B. Fisher

2010

Abstract

3D shape acquisition of fast-moving objects is an emerging area with many potential applications. This paper presents a novel application of 3D acquisition for studying the dynamic external morphology of live bats in flight. The 3D acquisition technique is based on binocular stereovision. Two high-speed (500 fps) calibrated machine vision cameras are employed to capture intensity images from the bats simultaneously, and 3D shape information of the bats is derived from the stereo video recording. Since the high-speed stereovision system and the bat dynamic morphology study application are both novel, it was unknown to what extent the system could perform 3D acquisition of the bats’ shapes. We carried out experiments to evaluate the performance of the system using artificial objects in various controlled conditions, and the knowledge gained helped us deploy the system in the on-site data acquisition. Our analysis of the real data demonstrates the feasibility of gathering 3D dynamic measurements on bats’ bodies from a few selected feature points and the possibility of recovering dense 3D shapes of bat heads from the stereo video data acquired. Issues are revealed in the 3D shape recovery, most notably related to motion blur and occlusion.

References

  1. Fenton, M.B., 2001. Bats. Checkmark Books.
  2. Khambay, B., Narin, N., et al, 2008. Validation of reproducibility of a high-resolution three-dimensional facial imaging system, British Journal of Oral and Maxillofacial Surgery, 46(1):27-32.
  3. Ogale, A. S., Aloimonos, Y., 2007. A roadmap to the integration of early visual modules, International Journal of Computer Vision, 72(1):9-25.
  4. Pendley, G. J., 2003. High-speed imaging technology; yesterday, today & tomorrow, Proceedings of SPIE; 25th International Congress on High-Speed Photography and Photonics.
  5. Scharstein, D., Szeliski, R., 2002. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, International Journal of Computer Vision, 47:7-42.
  6. Siebert, J. P., Urquhart, C. W., 1994, C3D: a novel visionbased 3-D data acquisition system, Proceedings of the European workshop on combined real and synthetic image processing for broadcast video production, Hamburg, Germany.
  7. Trucco, E., Verri, A., 1998. Introductory techniques for 3- D computer vision, Prentice Hall.
  8. Ullman, S., 1979. The interpretation of structure from motion. Proceedings of the Royal Society of London B., 203, 405-426.
  9. Mark, W. van der, Gavrila, D. M., 2006. Real-time dense stereo for intelligent vehicles, IEEE Transactions on Intelligent Transport System, 7(1): 38-50.
  10. Windera, R. J., Darvannb, T. A., et al, 2008. Technical validation of the Di3D stereophotogrammetry surface imaging system, British Journal of Oral and Maxillofacial Surgery, 46(1):33-37.
  11. Witkin, A.P., 1981, Recovering surface shape and orientation from texture, Artificial Intelligence, 17(1): 17-45.
  12. Woodham, R. J., 1980. Photometric method for determining surface orientation from multiple images. Optical Engineering, 19(I): 139-144.
  13. Woodfill, J. I., Gordon, G., Buck, R., 2004. Tyzx DeepSea high speed stereo vision system, Proceedings of Computer Vision and Pattern Recognition Workshop, CVPRW 7804. Washington, D.C., USA.
  14. Zhang, L., Curless, B., Seitz, S. M., 2003. Spacetime Stereo: Shape Recovery for Dynamic Scenes. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, USA.
  15. Zhang, S., Huang. P., 2006. High-resolution, real-time 3-D shape measurement, Optical Engineering, 45(12).
Download


Paper Citation


in Harvard Style

Xiao Y. and B. Fisher R. (2010). APPLICATION OF A HIGH-SPEED STEREOVISION SENSOR TO 3D SHAPE ACQUISITION OF FLYING BATS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 431-434. DOI: 10.5220/0002823804310434


in Bibtex Style

@conference{visapp10,
author={Yijun Xiao and Robert B. Fisher},
title={APPLICATION OF A HIGH-SPEED STEREOVISION SENSOR TO 3D SHAPE ACQUISITION OF FLYING BATS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={431-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002823804310434},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - APPLICATION OF A HIGH-SPEED STEREOVISION SENSOR TO 3D SHAPE ACQUISITION OF FLYING BATS
SN - 978-989-674-028-3
AU - Xiao Y.
AU - B. Fisher R.
PY - 2010
SP - 431
EP - 434
DO - 10.5220/0002823804310434