NDLI: Pose-invariant face recognition based on matching the occlusion free regions aligned by 3D generic model

Content Provider	IET Digital Library
Author	Sadeghzadeh, Arezoo Ebrahimnezhad, Hossein
Abstract	Face recognition systems perform accurately in a controlled environment, but an unconstrained environment dramatically degrades their performance. In this study, a novel pose-invariant face recognition system is proposed based on the occlusion free regions. This method utilises a gallery set of frontal face images and can handle large pose variations. For a 2D probe face image with an arbitrary pose, the head pose is first obtained using a robust head pose estimation method. Then, this 2D face image is normalised by a novel 3D modelling method from a single input image. In consequence, pose invariant face recognition is converted to a frontal face recognition problem. The 3D structure is reconstructed using a new method based on the estimated head pose and only one facial feature point, which is significantly reduced in comparison with the number of landmarks used in previous methods. According to the estimated poses, occlusion free regions are extracted from normalised images as feature extraction. Finally, face matching and recognition is performed using these regions from normalised test images and the corresponding regions of gallery images. Experimental results on FERET and CAS-PEAL-R1 databases demonstrate that the proposed method outperforms other methods, and it is robust and efficient.
Starting Page	268
Ending Page	277
Page Count	10
ISSN	17519632
Volume Number	14
e-ISSN	17519640
Issue Number	Issue 5, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/14/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2019.0244
Journal	IET Computer Vision
Publisher Date	2020-03-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Face Image 2D Probe Face Image 3D Generic Model Computer Vision And Image Processing Technique Controlled Environment Corresponding Regions Estimated Head Estimated Poses Estimation Method Face Matching Face Recognition Face Recognition System Feature Extraction Frontal Face Image Frontal Face Recognition Problem Gallery Image Image Recognition Normalised Image Normalised Test Image Novel 3D Modelling Method Novel Pose-invariant Face Recognition System Occlusion Free Region Optical, Image And Video Signal Processing Pose Estimation Pose Variations Robust Head Single Input Image Unconstrained Environment
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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