Abstract:
In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the use...Show MoreMetadata
Abstract:
In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what the system can deliver. We evaluate some of the existing algorithms with modifications for applications including FR on wearable devices (like Google Glass) for improving social interactions, monitoring of elderly people in senior citizens centers, FR of children in child care centers and face matching between a scanned IC/passport face image and few live webcam images for automatic hotel/resort checkout or clearance. Each of these applications poses unique challenges and demands specific research components so as to adapt in the actual sites.
Published in: 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Date of Conference: 13-15 November 2016
Date Added to IEEE Xplore: 02 February 2017
ISBN Information: