Skip to main content
SpringerLink
Log in

Synthetic Shape Reconstruction Combined with the FT-Based Method in Photometric Stereo

  • Conference paper
Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6453))

Included in the following conference series:

  • 1783 Accesses

Abstract

A novel method of synthetic shape reconstruction from photometric stereo data combined with the FF-based method is presented, aiming at obtaining more accurate shape. First, a shape is reconstructed from color images using a modified FF-based algorithm. Then, with the shape as initial value, a more accurate shape is synthetically reconstructed based on the Jacobi iterative method. The synthesis is realized as follows: the reconstruction is sequentially made in each of small image subareas, using the depths in the neighboring subareas as boundary values, which is iterated until the overall shape converges. The division to image subareas enables us to synthesize large shapes.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Woodham, R.J.: Photometric Method for Determining Surface Orientation from Multiple Images. In: Shape from Shading, ch. 17. MIT Press, Cambridge (1989)

    Google Scholar 

  2. Frankot, R.T., Chellappa, R.: A Method for Estimating Integrability in Shape from Shading Algorithms. IEEE Trans. PAMI 10, 439–451 (1988)

    Article  MATH  Google Scholar 

  3. Agrawal, A., Raskar, R., Chellappa, R.: What is the Range of Surface Reconstruction from a Gradient Field? In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 578–591. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Basri, R., Jacobs, D.: Photometric stereo with General, Unknown Lighting. In: CVPR, vol. 2, pp. 374–381 (2001)

    Google Scholar 

  5. Ikeda, O.: Photometric Stereo Using Four Surface Normal Approximations and Optimal Normalization of Images. In: Proceedings ISSPIT, pp. 672–679 (2006)

    Google Scholar 

  6. Brown, M.Z., Burschka, D., Hager, G.D.: Advances in Computational Stereo. IEEE Trans. PAMI 25, 993–1007 (2003)

    Article  Google Scholar 

  7. Barsky, S., Petrou, M.: The 4-Source Photometric Stereo Technique for Three-Dimensional Surfaces in the Presence of Highlights and Shadows. IEEE Trans. PAMI 25, 1239–1252 (2003)

    Article  Google Scholar 

  8. Ikeda, O., Duan, Y.: Color Photometric Stereo for Directional Diffuse Object. In: Proceedings of Workshop on Applications of Computer Vision (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, Takushoku University, 815-1 Tate, Hachioji, Tokyo, Japan

    Osamu Ikeda

Authors
  1. Osamu Ikeda
    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, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, 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. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammoud

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ikeda, O. (2010). Synthetic Shape Reconstruction Combined with the FT-Based Method in Photometric Stereo. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17289-2_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17288-5

  • Online ISBN: 978-3-642-17289-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation