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http://hdl.handle.net/20.500.12358/25119
TitleDistance-Based 3D Face Reconstruction Using Regularization
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Abstract

This study addresses the problem of reconstructing 3D face shapes from a small set of 2D facial points. By using Maximum Posterior Probability estimation, prior information modeled by PCA is connected to Tikhonov regularization method in order to solve the ill-posed problem of 3D face reconstruction. The prior information is learned from 3D faces of a standard 3D database. However, the optimal value of the regularization parameter λ is usually not available in advance. To overcome this problem, we restrict the distance between the reconstructed 3D face and the average 3D face close to the average of the distances between sample 3D faces and the average 3D face. This is due to the fact that the sample data are mostly located at the boundary of the data space for high dimensional and low sample size problems, which is the case for 3D faces. The optimal regularization parameter is then obtained to …

Authors
Maghari, Ashraf Y. A.
Liao, Iman YI
Venkat, Ibrahim
Belaton, Bahari
TypeJournal Article
Date2015
Published inInternational Visual Informatics Conference
PublisherSpringer, Cham
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  • Staff Publications- Faculty of Information Technology [192]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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