Evaluation of image resolution and super-resolution on face recognition performance

Authors:
Clinton Fookes;Frank Lin;Vinod Chandran;Sridha Sridharan
Affiliations:
Image & Video Research Laboratory, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia;Image & Video Research Laboratory, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia;Image & Video Research Laboratory, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia;Image & Video Research Laboratory, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia
Venue:
Journal of Visual Communication and Image Representation
Year:
2012

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Abstract

While researchers strive to improve automatic face recognition performance, the relationship between image resolution and face recognition performance has not received much attention. This relationship is examined systematically and a framework is developed such that results from super-resolution techniques can be compared. Three super-resolution techniques are compared with the Eigenface and Elastic Bunch Graph Matching face recognition engines. Parameter ranges over which these techniques provide better recognition performance than interpolated images is determined.