Recognition of 3D Faces with Missing Parts Based on SIFT and LBP Methods

Presently, 3D face recognition researched solutions confronted the problem of recognizing 2D. In our contribution, we specifically discuss major difficulties further to propose and test a novel solution of 3D face recognition that is significantly capable to perform the recognition subject, in cases...

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Bibliographic Details
Published inBiometric Security and Privacy pp. 273 - 297
Main Authors Saad, Narimen, Djedi, NourEddine
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesSignal Processing for Security Technologies
Subjects
3D biometric model
Biometrics
Business mathematics & systems
Face recognition
FRGC V1.0 database
Imaging systems & technology
Missing parts
Pattern recognition
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Summary:Presently, 3D face recognition researched solutions confronted the problem of recognizing 2D. In our contribution, we specifically discuss major difficulties further to propose and test a novel solution of 3D face recognition that is significantly capable to perform the recognition subject, in cases where the analysis of only a part of the face. With the proposed approach, the distinctive features of the face are captured by first extracting SIFT keypoints on the face of analysis and measure how the face changes along profiles built between pairs of keypoints, second we applied the operator SIFT on LBPP,R images, separately. Following the work of Faltemier and al. then Tang and al., we can better detect a number of keypoints by using SIFT on LBPP, R images, than using SIFT on the original images. The contribution is tested using the whole of the Face Recognition Grand Challenge FRGC v1.0 data. Finally, we perform a classification based on SVM process.
ISBN:9783319473000
331947300X
ISSN:2510-1498
2510-1501
DOI:10.1007/978-3-319-47301-7_12