Super-resolved face images using robust optical flow

Fookes, Clinton B., Lin, Frank C., Chandran, Vinod, & Sridharan, Sridha (2004) Super-resolved face images using robust optical flow. In 3rd Workshop on the Internet, Telecommunications and Signal Processing, WITSP'04, 20-22 December, 2004, Adelaide, Australia.

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Surveillance systems are commonly used to monitor and track individuals in a cluttered environment. Face images that are captured using such a system often suffer from poor resolution and consequently degrade the performance of any face recognition system which may be applied to these images. Super-resolution (SR) is one avenue for overcoming this limitation, however, many existing SR techniques perform poorly in applications involving the human face as faces are non-planar, non-rigid, non-lambertian, and are subject to self occlusion. This paper presents a superresolution system using robust optical flow in order to overcome these limitations. The optical flow method employed incorporates robust estimation methods to overcome problems associated with violation of the brightness constancy and spatial smoothness constraints. Resolving these issues greatly enhance the quality of the super-resolved images. Experimental results show significant improvement of the image quality and image resolution.

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ID Code: 17947
Item Type: Conference Paper
Refereed: Yes
Keywords: Super-Resolution, Facial Images, Robust Optical Flow
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2004 (please consult author)
Deposited On: 17 Feb 2009 03:00
Last Modified: 21 Jun 2017 14:41

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