Share Email Print
cover

Proceedings Paper • new

Characterizing hyperspectral signatures of human faces in the shortwave infrared spectrum
Author(s): Robert J. Goldman; Minas Benyamin; Matthew Thielke; Shuowen Hu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Hyperspectral imaging provides extensive spectral reflectance information useful for material classification and discrimination not available with conventional broadband imaging. In this work, we first seek to characterize the hyperspectral signature of human faces in the shortwave infrared (SWIR) band. A hyperspectral SWIR face dataset of 100 subjects was collected as part of this study. Regions of interest (ROI) were defined for each subject and the mean and variance of each ROI were computed. The results show that hyperspectral signatures are similar between male and female subjects for the cheek, forehead, and hair ROIs. Furthermore, this study investigated whether the hyperspectral face signatures from the ROIs contained discriminative information for gender classification. We implemented and trained five different classifiers for gender classification. Results from the machine learning experiments indicate that hyperspectral facial signatures in the SWIR band is only weakly discriminative with respect to gender.

Paper Details

Date Published: 7 May 2019
PDF: 8 pages
Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180Z (7 May 2019); doi: 10.1117/12.2519735
Show Author Affiliations
Robert J. Goldman, U.S. Army Research Lab. (United States)
Minas Benyamin, U.S. Army Research Lab (United States)
Georgia Institute of Technology (United States)
Matthew Thielke, U.S. Army Research Lab. (United States)
Shuowen Hu, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 11018:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
Ivan Kadar; Erik P. Blasch; Lynne L. Grewe, Editor(s)

© SPIE. Terms of Use
Back to Top