Adaptive feature-specific imaging: a face recognition example
Applied Optics, Vol. 47, Issue 10, pp. B21-B31 doi:10.1364/AO.47.000B21
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- OCIS Codes:
- (100.5010) Image processing : Pattern recognition
- (110.2970) Imaging systems : Image detection systems
- (110.1085) Imaging systems : Adaptive imaging
- (110.1758) Imaging systems : Computational imaging
Citation
Pawan K. Baheti and Mark A. Neifeld, "Adaptive feature-specific imaging: a face recognition example," Appl. Opt. 47, B21-B31 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-10-B21
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We present an adaptive feature-specific imaging (AFSI) system and consider its application to a face recognition task. The proposed system makes use of previous measurements to adapt the projection basis at each step. Using sequential hypothesis testing, we compare AFSI with static-FSI (SFSI) and static or adaptive conventional imaging in terms of the number of measurements required to achieve a specified probability of misclassification (Pe). The AFSI system exhibits significant improvement compared to SFSI and conventional imaging at low signal-to-noise ratio (SNR). It is shown that for M=4 hypotheses and desired Pe=10−2, AFSI requires 100 times fewer measurements than the adaptive conventional imager at SNR=−20 dB. We also show a trade-off, in terms of average detection time, between measurement SNR and adaptation advantage, resulting in an optimal value of integration time (equivalent to SNR) per measurement.
© 2008 Optical Society of America
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History
Original Manuscript: September 5, 2007
Manuscript Accepted: November 7, 2007
Published: February 6, 2008
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Author Affiliations
University of Arizona
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