SIMULTANEOUS ESTIMATION OF LIGHT SOURCES POSITIONS AND CAMERA ROTATION

Masahiro Oida, Fumihiko Sakaue, Jun Sato

2011

Abstract

For mixed reality and other applications, it is very important to achieve photometric and geometric consistency in image synthesis. This paper describes a method for calibrating camera and light source simultaneously from photometric and geometric constraints. In general, feature points in a scene are used for computing camera positions and orientations. On the other hand, if the cameras and objects are sticked and move together, the changes in shading information of the objects in images also include useful information on geometric camera motions. In this paper, we show that if we use both shading information and feature point information, we can calibrate cameras from smaller number of feature points than the existing methods. Furthermore, it is shown that the proposed method can calibrate light sources as well as cameras. The accuracy of the proposed method is evaluated by using real and synthetic images.

References

  1. Faugeras, O. and Luong, O. (2001). The Geometry of Multiple Images. MIT Press.
  2. Hartley, R. and Zisserman, A. (2000). Multiple View Geometry in Computer Vision. Cambridge University Press.
  3. Milgram, P. and Kishino, A. F. (1994). Taxonomy of mixed reality visual displays. IEICE Transactions on Information Systems, E77-D(12):1321-1329.
  4. Powell, M. W., Sarkar, S., and D.Goldgof (2001). A simple strategy for calibrating the geometry of light sources. IEEE Transaction on Pattern Analysis and Machine Intelligence, 23:1022-1027.
  5. Sato, I., Sato, Y., and Ikeuchi, K. (1999a). Acquiring a radiance distribution to superimpose virtual objects onto a real scene. IEEE Trans. Visualization and Computer Graphics, 5(1):1-12.
  6. Sato, I., Sato, Y., and Ikeuchi, K. (1999b). Illumination distribution from shadows. In Proc.IEEE Conference on Computer Vision and Pattern Recognition 99, pages 306-312.
  7. Takai, T., Niinuma, K., and Matsuyama, T. (2003). 3d lighting environment sensing with reference spheres. Computer Vision and Image Media, 137(15):117-124.
Download


Paper Citation


in Harvard Style

Oida M., Sakaue F. and Sato J. (2011). SIMULTANEOUS ESTIMATION OF LIGHT SOURCES POSITIONS AND CAMERA ROTATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 168-174. DOI: 10.5220/0003374901680174


in Bibtex Style

@conference{visapp11,
author={Masahiro Oida and Fumihiko Sakaue and Jun Sato},
title={SIMULTANEOUS ESTIMATION OF LIGHT SOURCES POSITIONS AND CAMERA ROTATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={168-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003374901680174},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - SIMULTANEOUS ESTIMATION OF LIGHT SOURCES POSITIONS AND CAMERA ROTATION
SN - 978-989-8425-47-8
AU - Oida M.
AU - Sakaue F.
AU - Sato J.
PY - 2011
SP - 168
EP - 174
DO - 10.5220/0003374901680174