{'fraction_non_alphanumeric': 0.01932367149758454, 'fraction_numerical': 0.0, 'mean_word_length': 5.966386554621849, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching

An emerging topic in face recognition is matching between facial images acquired from different sensing modalities, referred to as heterogeneous face recognition. Heterogeneous face recognition has the potential to provide key capabilities for the commercial sector as well as for law enforcement, intelligence gathering, and the military, especially in challenging unconstrained settings. However, the difficulty in heterogeneous face recognition is compounded by phenomenology differences between modalities, giving rise to significant facial appearance variations due to the modality gap. In this paper, we focus on a subset of heterogeneous face recognition and present a succinct review of recent work on infrared-to-visible face recognition.