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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 44, Iss. 5 — Feb. 10, 2005
  • pp: 655–665

Illumination-tolerant face verification of low-bit-rate JPEG2000 wavelet images with advanced correlation filters for handheld devices

Surya Li Wijaya, Marios Savvides, and B. V. K. Vijaya Kumar  »View Author Affiliations


Applied Optics, Vol. 44, Issue 5, pp. 655-665 (2005)
http://dx.doi.org/10.1364/AO.44.000655


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Abstract

Face recognition on mobile devices, such as personal digital assistants and cell phones, is a big challenge owing to the limited computational resources available to run verifications on the devices themselves. One approach is to transmit the captured face images by use of the cell-phone connection and to run the verification on a remote station. However, owing to limitations in communication bandwidth, it may be necessary to transmit a compressed version of the image. We propose using the image compression standard JPEG2000, which is a wavelet-based compression engine used to compress the face images to low bit rates suitable for transmission over low-bandwidth communication channels. At the receiver end, the face images are reconstructed with a JPEG2000 decoder and are fed into the verification engine. We explore how advanced correlation filters, such as the minimum average correlation energy filter [ Appl. Opt. 26, 3633 ( 1987)] and its variants, perform by using face images captured under different illumination conditions and encoded with different bit rates under the JPEG2000 wavelet-encoding standard. We evaluate the performance of these filters by using illumination variations from the Carnegie Mellon University’s Pose, Illumination, and Expression (PIE) face database. We also demonstrate the tolerance of these filters to noisy versions of images with illumination variations.

© 2005 Optical Society of America

History
Original Manuscript: June 9, 2004
Revised Manuscript: October 18, 2004
Manuscript Accepted: October 18, 2004
Published: February 10, 2005

Citation
Surya Li Wijaya, Marios Savvides, and B. V. K. Vijaya Kumar, "Illumination-tolerant face verification of low-bit-rate JPEG2000 wavelet images with advanced correlation filters for handheld devices," Appl. Opt. 44, 655-665 (2005)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-44-5-655


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References

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