Skip to main content
SpringerLink
Log in

Comparing facial line drawings with gray-level images: A case study on PHANTOMAS

  • Poster Presentations 2
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN 96 (ICANN 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

Included in the following conference series:

Abstract

We report on an application of neural face recognition algorithms to a task with relevance to forensic investigations: The software tool PHANTOMAS (phantom automatic search) allows to compare facial line drawings (the German “Phantomzeichnung”) with gray-level images of faces. In addition to normal (textual) database search actions, this software tool allows picture-to-picture searches. We present first results on the evaluation of a benchmark on this task. The ranking quality of PHANTOMAS allows to spot the true match belonging to a certain drawing on the average within the upper 2.7% of the database (N=103). It is shown that this is comparable to the human performance on the same data material. Computation time makes it feasible to search online in large databases (N ≈ 10000). — With the same algorithm it is also possible to classify complex characteristica in faces or facial line drawings, which we demonstrate on the example of gender classification.

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.

References

  1. V. Bruce and M. Burton. Processing Images of Faces. ABLEX Publishing-Corporation, Norwood, NJ, 1992.

    Google Scholar 

  2. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In Proceedings of CVPR'91. IEEE Press, 1991.

    Google Scholar 

  3. M. Bichsel, editor. Proceedings of the International workshop on automatic face-and gesture-recognition (IWAFGR), MultiMedia Laboratory, University of Zurich, Switzerland, 1995.

    Google Scholar 

  4. R. Brunelli and T. Poggio. Caricatural effects in automated face perception. Biological Cybernetics, 69:235–241, 1993.

    Google Scholar 

  5. M. Lades, J. Vorbrüggen, J. Buhmann, J. Lange, C.v.d. Malsburg, R.P. Würtz, and W. Konen. Distortion invariant object recognition in the dynamic link architecture. IEEE Transaction on Computers, 42:300–311, 1993.

    Google Scholar 

  6. W. Konen and E. Schulze-Krüger. ZN-Face: A system for access control using automated face recognition. In M. Bichsel, editor, Int. Workshop on Face and Gesture Recognition, 1995.

    Google Scholar 

  7. W. Konen, J.C. Vorbrüggen, and R.P. Würtz. Deutsches Patent Nr. 44 06 020: Verfahren zur automatisierten Erkennung von Objekten. Erteilt am 29.06.1995.

    Google Scholar 

  8. L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg. Face recognition and gender determination. In M. Bichsel, editor, Int. Workshop on Face and Gesture Recognition, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ZN GmbH, Bochum, Germany

    Wolfgang Konen

Authors
  1. Wolfgang Konen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Konen, W. (1996). Comparing facial line drawings with gray-level images: A case study on PHANTOMAS. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_123

Download citation

  • DOI: https://doi.org/10.1007/3-540-61510-5_123

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation