Audio- and Video-Based Biometric Person Authentication

2001

Citations in the corpus

• Cracking Fuzzy Vaults and Biometric Encryption (2007, background): “From a privacy point of view, function creep and owner abuse must be considered -neither of which is reduced by standard encryption.”
• Image and Vision Computing (2016, unknown): “1c) only.”
• A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition (2006, background): “This can also cause problems in a high-throughput application.”
• Face Alignment at 3000 FPS via Regressing Local Binary Features (2014, methodology): “It is created from existing datasets, including LFPW [1], AFW [35], Helen [17], XM2VTS [20], and a new dataset called IBUG.”
• Facial expression recognition from video sequences: temporal and static modeling (2003, unknown): “Section 4 describes the Bayesian network classifiers used for classifying frames in the video sequence to the different expressions.”
• From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose (2001, background): “The albedo, (cid:11) (cid:133) x; y (cid:134) , is fixed to its current estimate.”
• Recurrent Attention Models for Depth-Based Person Identification (2016, background): “Nevertheless, it represents a valuable task for security authentication, human tracking, public safety, and role-based activity understanding [34, 30, 2].”
• Very low resolution face recognition problem (2010, background): “Our proposed data constraint can properly estimate the reconstructed error.”
• Deep Representations for Iris, Face, and Fingerprint Spoofing Detection (2014, background): “However, the need of custom-tailored solutions for the myriad possible attacks might be a limiting constraint.”