Paper Info
Title
3D Face Recognition with Local Binary Patterns
Abstract
Human faces are one of the most important and most popular biometric modalities to recognize individuals in a broad range of applications. So far, Local Binary Patterns have been applied to face recognition based on 2D illumination images and near infrared images, showing good robustness, discriminative ability and computational efficiency. In this paper, this method is extended to 3D face images. We investigate the influence of several parameters of this method and show improvements in the recognition rates, proving that this new method is a very promising approach for 3D face recognition.
Year
DOI
Venue
2010
10.1109/IIHMSP.2010.87
IIH-MSP
Keywords
Field
DocType
face image,face recognition,human face,computational efficiency,recognition rate,good robustness,discriminative ability,broad range,new method,local binary patterns,histograms,local binary pattern,robustness,face,pixel
Facial recognition system,Histogram,Computer vision,Three-dimensional face recognition,Pattern recognition,Computer science,Local binary patterns,Robustness (computer science),Artificial intelligence,Biometrics,Face detection,Discriminative model
Conference
Citations 
PageRank 
References 
2
0.36
8
Authors
3
Name
Order
Citations
PageRank
Xuebing Zhou115013.14
Silvia Araujo Sanchez220.36
Arjan Kuijper31063133.22