Thermal to Visible Face Recognition.

摘要

For nighttime surveillance applications, acquisition of visible light imagery is impractical due to the lack of illumination. Thermal imaging, which acquires mid-wave infrared or long-wave infrared radiation naturally emitted by the human body, can be utilized in low light conditions to perform surveillance tasks. Identification of individuals captured by thermal imaging would significantly enhance nighttime intelligence gathering capabilities. However, government watch lists and databases almost exclusively contain visible light face imagery of individuals of interest. Matching thermal face imagery to the existing databases therefore requires the development of across modality face recognition algorithms and methods. Due to the large modality gap caused by the wavelength difference between visible and thermal radiation, thermal-to-visible face recognition is a challenging problem.