Face recognition from face motion manifolds using robust kernel resistor-average distance
Arandjelovic, Ognjen and Cipolla, R. 2004, Face recognition from face motion manifolds using robust kernel resistor-average distance, in CRPRW 2004 : Proceedings of the Computer Vision and Pattern Recognition Workshop Conference 2004, IEEE, Piscataway, New Jersey, pp. 88-93, doi: 10.1109/CVPR.2004.67.
Computer Vision and Pattern Recognition Conference
Start page
88
End page
93
Total pages
6
Publisher
IEEE
Place of publication
Piscataway, New Jersey
Summary
In this work we consider face recognition from face motion manifolds. An information-theoretic approach with Resistor-Average Distance (RAD) as a dissimilarity measure between distributions of face images is proposed. We introduce a kernel-based algorithm that retains the simplicity of the closed-form expression for the RAD between two normal distributions, while allowing for modelling of complex, nonlinear manifolds. Additionally, it is shown how errors in the face registration process can be modelled to significantly improve recognition. Recognition performance of our method is experimentally demonstrated and shown to outperform state-of-the-art algorithms. Recognition rates of 97–100% are consistently achieved on databases of 35– 90 people.
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO.
If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.
Cited 
Cited 