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- Title
HETEROGENEOUS FACE RECOGNITION: AN EMERGING TOPIC IN BIOMETRICS.
- Authors
Guodong Guo
- Abstract
An emerging topic in biometrics is matching between heterogeneous image modalities, called heterogeneous face recognition (HFR). This emerging topic is motivated by the advances in sensor technology development that make it possible to acquire face images from diverse imaging sensors, such as the near infrared (NIR), thermal infrared (IR), and three-dimensional (3D) depth cameras. It is also motivated by the demand from real applications. For example, when a subject's face can only be acquired at night, the NIR or IR imaging might be the only modality for acquiring a useful face image of the subject. Another example is that no imaging system was available to capture the face image of a suspect during a criminal act. In this case a forensic sketch, drawn by a police artist based on a verbal description provided by a witness or the victim, is likely to be the only available source of a face of the suspect. Using the sketch to search a large database of mug-shot face photos is also a heterogeneous face recognition problem. Thus it is interesting to study the HFR as a relatively new topic in biometrics. In this article, several specific HFR problems are presented, and various approaches are described to address the heterogeneous face matching problems. Some future research directions are discussed as well to advance the research on this emerging topic.
- Subjects
BIOMETRIC identification software; HUMAN facial recognition software; PERFORMANCE of imaging systems; COMPUTER security management; COMPUTER security software
- Publication
Intel Technology Journal, 2014, Vol 18, Issue 4, p80
- ISSN
1535-864X
- Publication type
Article