Low cost enhanced security face recognition with stereo cameras

Autor:	Vecino, Biel Tura, Cobos, Martí, Salembier, Philippe
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	This article explores a face recognition alternative which seeks to contribute to resolve current security vulnerabilities in most recognition architectures. Current low cost facial authentication software in the market can be fooled by a printed picture of a face due to the lack of depth information. The presented software creates a depth map of the face with the help of a stereo setup, offering a higher level of security than traditional recognition programs. Analysis of the person's identity and facial depth map are processed through deep convolutional neural networks, providing a secure low cost real-time face authentication method. Comment: 5 pages, 9 figures, code available at https://github.com/bieltura/Automotive_face_detector
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2011.02222 Zobrazit plný text záznamu View this record from Arxiv