Super-Resolved Faces for Improved Face Recognition from Surveillance Video

Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for computers and human operators to identify individuals from these videos. To overcome this problem, super-resolution can be used in conjunction with an automated face recognition system to enhance the spatial resolution of video frames containing the subject and narrow down the number of manual verifications performed by the human operator by presenting a list of most likely candidates from the database. As the super-resolution reconstruction process is ill-posed, visual artifacts are often generated as a result. These artifacts can be visually distracting to humans and/or affect machine recognition algorithms. While it is intuitive that higher resolution should lead to improved recognition accuracy, the effects of superresolution and such artifacts on face recognition performance have not been systematically stud...

• Type: Conference
• Year: 2007
• Where: ICB
• Authors: Frank Lin, Clinton Fookes, Vinod Chandran, Sridha Sridharan
• Keywords: Biometrics, Face Recognition, ICB 2007, Recognition Accuracy, Schultz Et Al