Thermal-to-visible face verification is a challenging problem due to the large domain
discrepancy between the modalities. Existing approaches either attempt to synthesize …

Thermal to visible face verification is a challenging problem due to the large domain
discrepancy between the modalities. Existing approaches either attempt to synthesize …

In this paper, we present a deep coupled learning framework to address the problem of
matching polarimetric thermal face photos against a gallery of visible faces. Polarization …

Polarimetric thermal to visible face verification entails matching two images that contain
significant domain differences. Several recent approaches have attempted to synthesize …

Synthesis of visible spectrum faces from thermal facial imagery is a promising approach for
heterogeneous face recognition; enabling existing face recognition software trained on …

A method and apparatus for cross-modal matching with polarimetric thermal image data is
provided. According to one embodiment, the method comprises receiving a plurality of …

The large modality gap between faces captured in different spectra makes heterogeneous
face recognition (HFR) a challenging problem. In this paper, we present a coupled …

A method for synthesizing visible spectrum face imagery from polarimetric-thermal face
imagery is presented. This work extends recent within-spectrum (ie, visible-to-visible) …

A face recognition system capable of day-and night-time operation is highly desirable for
surveillance and reconnaissance. Polarimetric thermal imaging is ideal for such …

For applications such as airport border control, biometric technologies that can process
many capture subjects quickly, efficiently, with weak supervision, and with minimal …