Статья: A Polarimetric Thermal Database for Face Recognition Research
We present a polarimetric thermal face database, the
first of its kind, for face recognition research. This
database was acquired using a polarimetric longwave
infrared imager, specifically a division-of-time spinning
achromatic retarder system. A corresponding set of visible
spectrum imagery was also collected, to facilitate cross-
spectrum (also referred to as heterogeneous) face
recognition research. The database consists of imagery
acquired at three distances under two experimental
conditions: neutral/baseline condition, and expressions condition. Annotations (spatial coordinates of key fiducial points) are provided for all images. Cross-spectrum face recognition performance on the database is benchmarked using three techniques: partial least squares, deep perceptual mapping, and coupled neural networks
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