Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection

Autor(es)

Pinto, Allan ^[1] ; Goldenstein, Siome ^[2] ; Ferreira, Alexandre ^[1] ; Carvalho, Tiago ^{[1, 3]} ; Pedrini, Helio ^[1] ; Rocha, Anderson ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas Unicamp, Inst Comp, BR-13083852 Campinas - Brazil

^[2] Google Inc, Pittsburgh, PA 15206 - USA

^[3] Fed Inst Sao Paulo IFSP, Campinas - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE Transactions on Information Forensics and Security; v. 15, p. 3347-3358, 2020.
• Citações Web of Science: 0

Resumo

Presentation attack detection is a challenging problem that aims at exposing an impostor user seeking to deceive the authentication system. In facial biometrics systems, this kind of attack is performed using a photograph, video, or 3D mask containing the biometric information of a genuine identity. In this paper, we propose a novel approach to detecting face presentation attacks based on intrinsic properties of the scene such as albedo, depth, and reflectance properties of the facial surfaces, which were recovered through a shape-from-shading (SfS) algorithm. To extract meaningful patterns from the different maps obtained with the SfS algorithm, we designed a novel shallow CNN architecture for learning features useful to the presentation attack detection (PAD). We performed several experiments considering the intra- and inter-dataset evaluation protocols. The obtained results showed the effectiveness of the proposed method considering several types of photo- and video-based presentation attacks, and in the cross-sensor scenario, besides achieving competitive results for the inter-dataset evaluation protocol. (AU)

• Processo FAPESP: 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade
• Beneficiário: Anderson de Rezende Rocha
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 19/16253-1 - Desvendando o segredo do futebol Brasileiro e Holandês, capturando elementos de estilo de jogo e estratégias de sucesso
• Beneficiário: Allan da Silva Pinto
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 17/12631-6 - Desenvolvendo e Disseminando Métodos e Ferramentas Para a Análise Forense de Documentos Digitais
• Beneficiário: Tiago Jose de Carvalho
• Modalidade de apoio: Auxílio à Pesquisa - Regular