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

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 decis...

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Bibliographic Details
Published in18th International Conference on Pattern Recognition (ICPR'06) Vol. 3; pp. 1018 - 1021
Main Authors Gokberk, B., Akarun, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Algorithm design and analysis
Biometrics
Clouds
Face recognition
Heuristic algorithms
Humans
Iterative closest point algorithm
Principal component analysis
Probes
Shape
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ISBN0769525210
9780769525211
ISSN1051-4651
DOI10.1109/ICPR.2006.387

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Summary: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
ISBN:0769525210
9780769525211
ISSN:1051-4651
DOI:10.1109/ICPR.2006.387