Skip to main content
Springer Nature Link
Log in

Binocular Uncalibrated Photometric Stereo

  • Conference paper
Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4291))

Included in the following conference series:

  • 1790 Accesses

Abstract

In Uncalibrated Photometric Stereo (UPS), the surface normals and light sources are determined up to a group of ambiguous Generalized Bas-Relief (GBR) transformations. However, it has been shown by previous works to be rather troublesome to solve these ambiguities. In this paper, a framework of Binocular Uncalibrated Photometric Stereo (B-UPS) is given for accurate stereo matching for lambertian and non-lambertian objects. It is also shown that the problem of 3D reconstruction with UPS is converted into that of stereo matching with B-UPS. By this conversion, the intractable GBR transformations can be bypassed. In B-UPS, the Orientation-Consistency cue (OC) [1] for distant-lighting condition and Local-Orientation-Consistency (LOC) cue for non-distant lighting condition are used together for stereo matching, where the combination of both cues is made possible by a planar-area detection method based on a pseudo-normal-map segmentation scheme. Excellent matching and reconstruction results for objects with constant and spatial-varying BRDF demonstrate the superiority of B-UPS.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Hertzmann, A., Seitz, S.: Example-based photometric stereo: Shape reconstruction with general, varying brdfs. IEEE Trans. on PAMI 27, 1254–1264 (2005)

    Google Scholar 

  2. Hayakawa, H.: Photometric stereo under a light source with arbitrary motion. Journal of Optical Society of America, A (1994)

    Google Scholar 

  3. Yuille, A., Snow, D., Epstein, R., Belhumeur, P.: Determining generative models of objects under varying illumination: Shape and albedo from multiple images using svd and integrability. IJCV 35, 203–222 (1999)

    Article  Google Scholar 

  4. Belhumeur, P., Kriegman, D., Yuille, A.: The bas-relief ambiguity. IJCV 35, 33–44 (1999)

    Article  Google Scholar 

  5. Drbohlav, O., Sara, R.: Specularities reduce ambiguity of uncalibrated photometric stereo. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds.) ECCV 2002. LNCS, vol. 2359, pp. 46–60. Springer, Heidelberg (2002)

    Google Scholar 

  6. Drbohlav, O., Chantler, M.: Can two specular pixels calibrate photometric stereo? In: ICCV, pp. 568–574 (2005)

    Google Scholar 

  7. Georghiades, A.: Incorporating the torrance and sparrow model of reflectance in uncalibrated photometric stereo. In: ICCV, vol. 2, pp. 816–823 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Panasonic Singapore Labs, Blk 1022 Tai Seng Ave., 534415, Singapore

    Hui Kong & Pengfei Xu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Eam Khwang Teoh

Authors
  1. Hui Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pengfei Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eam Khwang Teoh
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Intel, 95052, Santa Clara, CA, USA

    Ara Nefian

  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA

    Gopi Meenakshisundaram

  8. Institute for Data Analysis and Visualization, P.O. Box

    Valerio Pascucci

  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech

    Jiri Zara

  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA

    Jose Molineros

  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany

    Holger Theisel

  12. Hewlett Packard Labs, Palo Alto, CA, USA

    Tom Malzbender

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kong, H., Xu, P., Teoh, E.K. (2006). Binocular Uncalibrated Photometric Stereo. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919476_29

Download citation

  • DOI: https://doi.org/10.1007/11919476_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48628-2

  • Online ISBN: 978-3-540-48631-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics