【文件属性】：
文件名称：Illumination_Invariant_Face_Recognition_Using_Thermal_Infrared_Imagery
文件大小：244KB
文件格式：PDF
更新时间：2014-11-07 07:00:00
Face_Recognition_Using_Thermal_Infrared_Imagery
A key problem for face recognition has been accurate identification
under variable illumination conditions. Conventional
video cameras sense reflected light so that image
grayvalues are a product of both intrinsic skin reflectivity
and external incident illumination, thus obfuscating the intrinsic
reflectivity of skin. Thermal emission from skin, on
the other hand, is an intrinsic measurement that can be isolated
from external illumination. We examine the invariance
of Long-Wave InfraRed (LWIR) imagery with respect
to different illumination conditions from the viewpoint of
performance comparisons of two well-known face recognition
algorithms applied to LWIR and visible imagery. We
develop rigourous data collection protocols that formalize
face recognition analysis for computer vision in the thermal
IR.