Paper Info
Title
Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition
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.
Year
DOI
Venue
2006
10.1109/ICPR.2006.387
ICPR (3)
Keywords
Field
DocType
comparative analysis,face recognition,best solution,standard fusion scheme,serial fusion,decision-level fusion algorithms,various fusion algorithm,dynamic calculation,novel implementation,decision-level fusion algorithm,lda-based cascaded serial fusion,reliability-assisted fusion scheme,linear discriminant analysis,sensor fusion
Computer vision,Facial recognition system,Decision level,Pattern recognition,Computer science,Fusion,Algorithm,Sensor fusion,Artificial intelligence,Linear discriminant analysis,Machine learning
Conference
ISSN
ISBN
Citations 
1051-4651
0-7695-2521-0
13
PageRank 
References 
Authors
0.70
10
2
Name
Order
Citations
PageRank
Berk Gokberk11136.23
lale akarun2120170.68