title: Combination of Face Regions in Forensic Scenarios.
abstract: This article presents an experimental analysis of the combination of different regions of the human face on various forensic scenarios to generate scientific knowledge useful for the forensic experts. Three scenarios of interest at different distances are considered comparing mugshot and CCTV face images using MORPH and SC face databases. One of the main findings is that inner facial regions combine better in mugshot and close CCTV scenarios and outer facial regions combine better in far CCTV scenarios. This means, that depending of the acquisition distance, the discriminative power of the facial regions change, having in some cases better performance than the full face. This effect can be exploited by considering the fusion of facial regions which results in a very significant improvement of the discriminative performance compared to just using the full face.
authors.affiliation: Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco, Madrid, 28049, Spain.
authors.forename: Pedro
authors.initials: P
authors.lastname: Tome
authors.affiliation: Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco, Madrid, 28049, Spain.
authors.forename: Julian
authors.initials: J
authors.lastname: Fierrez
authors.affiliation: Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco, Madrid, 28049, Spain.
authors.forename: Ruben
authors.initials: R
authors.lastname: Vera-Rodriguez
authors.affiliation: Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco, Madrid, 28049, Spain.
authors.forename: Javier
authors.initials: J
authors.lastname: Ortega-Garcia
mesh_terms: D059925:Anatomic Landmarks; D005145:Face / Q000033:anatomy & histology*; D000066499:Facial Recognition; D044707:Forensic Sciences; D006801:Humans; D010781:Photography; D025341:Principal Component Analysis; D060388:Support Vector Machine; D013690:Television
keywords: biometrics; biometrics at a distance; face recognition; facial components; facial regions; forensic face; forensic science