Fourier active appearance models
Navarathna, R., Sridharan, S., & Lucey, S. (2011) Fourier active appearance models. In Proceedings of the 2011 IEEE International Conference on Computer Vision (ICCV), IEEE, Barcelona, Spain, pp. 1919-1926.
Gaining invariance to camera and illumination variations has been a well investigated topic in Active Appearance Model (AAM) fitting literature. The major problem lies in the inability of the appearance parameters of the AAM to generalize to unseen conditions. An attractive approach for gaining invariance is to fit an AAM to a multiple filter response (e.g. Gabor) representation of the input image. Naively applying this concept with a traditional AAM is computationally prohibitive, especially as the number of filter responses increase. In this paper, we present a computationally efficient AAM fitting algorithm based on the Lucas-Kanade (LK) algorithm posed in the Fourier domain that affords invariance to both expression and illumination. We refer to this as a Fourier AAM (FAAM), and show that this method gives substantial improvement in person specific AAM fitting performance over traditional AAM fitting methods.
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|Item Type:||Conference Paper|
|Keywords:||Fourier transforms, Gabor filters, Image representation|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 IEEE|
|Deposited On:||18 Nov 2014 23:29|
|Last Modified:||14 May 2015 02:20|
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