Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition

Authors:
Berk Gokberk;Lale Akarun
Affiliations:
Bocgazici University, Turkey;Bocgazici University, Turkey
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Year:
2006

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Abstract

3D shape-based face recognition algorithms can be improved by using decision-level fusion algorithms. In this work, we present a comparative analysis of various fusion algorithms, and also propose novel ones. The contributions of the paper can be summarized as: i) a through analysis of several decision-level fusion algorithms, ii) a dynamically estimated reliability-assisted fusion schemes, and iii) a novel implementation of LDA-based cascaded serial fusion algorithm. Experiments conducted on the 3D_RMA dataset confirm that serial fusion offers the best solution, and dynamic calculation of reliability estimates improves the accuracy of the standard fusion schemes.