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Component-Based Representation in Automated Face Recognition

Authors
Bonnen, KathrynKlare, Brendan F.Jain, Anil K.
Issue Date
1월-2013
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Active shapemodel; component-based face representation; face recognition; feature extraction
Citation
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.8, no.1, pp.239 - 253
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Volume
8
Number
1
Start Page
239
End Page
253
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/104260
DOI
10.1109/TIFS.2012.2226580
ISSN
1556-6013
Abstract
This paper presents a framework for component-based face alignment and representation that demonstrates improvements in matching performance over the more common holistic approach to face alignment and representation. This work is motivated by recent evidence from the cognitive science community demonstrating the efficacy of component-based facial representations. The component-based framework presented in this paper consists of the following major steps: 1) landmark extraction using Active Shape Models (ASM), 2) alignment and cropping of components using Procrustes Analysis, 3) representation of components with Multiscale Local Binary Patterns (MLBP), 4) per-component measurement of facial similarity, and 5) fusion of per-component similarities. We demonstrate on three public datasets and an operational dataset consisting of face images of 8000 subjects, that the proposed component-based representation provides higher recognition accuracies over holistic-based representations. Additionally, we show that the proposed component-based representations: 1) are more robust to changes in facial pose, and 2) improve recognition accuracy on occluded face images in forensic scenarios.
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