Removal of Occlusion in Face Images Using PIX2PIX Technique for Face Recognition

Title

Removal of Occlusion in Face Images Using PIX2PIX Technique for Face Recognition

Creator

John S.; Danti A.

Description

Occlusion of face images is a serious problem encountered by the researchers working in different areas. Occluded face creates a hindrance in extracting the features thereby exploits the face recognition systems. Level of complexity increases with changing gestures, different poses, and expression. Occlusion of the face is one of the seldom touched areas. In this paper, an attempt is made to recover face images from occlusion using deep learning techniques. Pix2pix a condition generative adversarial network is used for image recovery. This method is used for the translation of one image to another by converting an occluded image to a non-occluded image. Webface-OCC dataset is used for experimentation, and the efficacy of the proposed method is demonstrated. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 47-57.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Face recognition system; Occlusion; Pix2pix

Coverage

John S., Department of Computer Science and Engineering, Christ (Deemed To Be) University, Bangalore, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed To Be) University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23674512

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-16-9113-3_5

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133519159&doi=10.1007%2f978-981-16-9113-3_5&partnerID=40&md5=364f317fec08eec196596e6eb9db8444