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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 32 — Nov. 11, 2002
  • pp: 6829–6840

Two Class Minimax Distance Transform Correlation Filter

Marios Savvides, B. V. K. Vijaya Kumar, and Pradeep K. Khosla  »View Author Affiliations


Applied Optics, Vol. 41, Issue 32, pp. 6829-6840 (2002)
http://dx.doi.org/10.1364/AO.41.006829


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Abstract

A new correlation filter formulation (that we refer to as the minimax distance transform correlation filter (MDTCF) is presented that minimizes the average squared distance from the filtered desired (or true-) class training images to a filtered reference image while maximizing the mean squared distance of the filtered undesired (or false-) class training images to this filtered reference image. This approach increases the separation between the false-class correlation outputs and the true-class correlation outputs. Classification can be performed using the squared distance of a filtered test image to the chosen filtered reference image. We show that the previously introduced distance classifier correlation filter (DCCF) is similar to a special case of MDTCF. We also examine the differences between the DCCF and the MDTCF, and show that MDTCF can offer increased discrimination performance. Also, MDTCF performance is evaluated on two different face databases.

© 2002 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision

Citation
Marios Savvides, B. V. K. Vijaya Kumar, and Pradeep K. Khosla, "Two Class Minimax Distance Transform Correlation Filter," Appl. Opt. 41, 6829-6840 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-32-6829


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References

  1. A. Mahalanobis, D. W. Carlson, and B. V. K. Vijaya Kumar, “Evaluation of MACH and DCCF correlation filters for SAR ATR using MSTAR public database,” in Algorithms for Synthetic Aperture Radar Imagery V, E. G. Zelnio, ed., Proc. SPIE 3370, 460–469 (1998).
  2. B. V. K. Vijaya Kumar, “Tutorial survey of composite filter designs for optical correlators,” Appl. Opt. 31, 4773–4801 (1992).
  3. B. V. K. Vijaya Kumar, A. Mahalanobis, S. Song, S. R. F. Sims, and J. F. Epperson, “Minimum squared error synthetic discriminant functions,” Opt. Eng. 31, 915–922 (1992).
  4. A. Mahalanobis, B. V. K. Vijaya Kumar, and S. R. F. Sims, “Distance classifier correlation filters for distortion tolerance, discrimination, and clutter rejection,” in Photonics for Processors, Neural Networks, and Memories, J. L. Horner, B. Javidi, S. T. Kowel, W. J. Miceli, eds., Proc. SPIE 2026, 325–337 (1993).
  5. R. Duda and P. Hart, Pattern Classification and Scene Analysis (Wiley, New York, 1973).
  6. A. Mahalanobis and B. V. K. Vijaya Kumar, “Important differences between distance classifier correlation filters and Fisher linear discriminant functions,” in Automatic Target Recognition VIII, F. A. Sadjadi, ed., Proc. SPIE 3371, 263–274 (1998).
  7. http://amp.ece.cmu.edu—Advanced Multimedia Processing Lab at ECE CMU.
  8. A. Mahalanobis, B. V. K. Vijaya Kumar, S. R. F. Sims, and J. F. Epperson, “Unconstrained correlation filters,” Appl. Opt. 33, 3751–3759 (1994).
  9. http://www.uk.research.att.com/facedatabase.html—AT&T Laboratories, Cambridge, United Kingdom.

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