Local ICA for the Most Wanted face recognition

Xin Guan; Harold H. Szu; Zvi Markowitz

doi:10.1117/12.381716

5 April 2000 Local ICA for the Most Wanted face recognition

Xin Guan, Harold H. Szu, Zvi Markowitz

Proceedings Volume 4056, Wavelet Applications VII; (2000) https://doi.org/10.1117/12.381716
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Facial disguises of FBI Most Wanted criminals are inevitable and anticipated in our design of automatic/aided target recognition (ATR) imaging systems. For example, man's facial hairs may hide his mouth and chin but not necessarily the nose and eyes. Sunglasses will cover the eyes but not the nose, mouth, and chins. This fact motivates us to build sets of the independent component analyses bases separately for each facial region of the entire alleged criminal group. Then, given an alleged criminal face, collective votes are obtained from all facial regions in terms of 'yes, no, abstain' and are tallied for a potential alarm. Moreover, and innocent outside shall fall below the alarm threshold and is allowed to pass the checkpoint. Such a PD versus FAR called ROC curve is obtained.

Citation Download Citation

Xin Guan, Harold H. Szu, and Zvi Markowitz "Local ICA for the Most Wanted face recognition", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381716

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