2 research outputs found
Intel RealSense Stereoscopic Depth Cameras
We present a comprehensive overview of the stereoscopic Intel RealSense RGBD
imaging systems. We discuss these systems' mode-of-operation, functional
behavior and include models of their expected performance, shortcomings, and
limitations. We provide information about the systems' optical characteristics,
their correlation algorithms, and how these properties can affect different
applications, including 3D reconstruction and gesture recognition. Our
discussion covers the Intel RealSense R200 and the Intel RealSense D400
(formally RS400).Comment: Accepted to CCD 2017, a CVPR 2017 Worksho
Security Vulnerabilities Against Fingerprint Biometric System
The biometric system is an automatic identification and authentication system
that uses unique biological traits, such as fingerprint, face, iris, voice,
retina, etc. of an individual. Of all these systems, fingerprint biometric
system is the most widely used because of its low cost, high matching speed,
and relatively high matching accuracy. Due to the high efficiency of
fingerprint biometric system in verifying a legitimate user, numerous
government and private organizations are using this system for security
purpose. This paper provides an overview of the fingerprint biometric system
and gives details about various current security aspects related to the system.
The security concerns that we address include multiple attacks on the system,
associated threat models, biometric cryptosystems, current issues, challenges,
opportunities, and open problems that exist in present day fingerprint
biometric system