Extraction and alignment of facial regions for 3D facial image-based recognition

Naoufel Werghi; Harish Bhaskar; Ali Hasan Ali Mohammed Malek

doi:10.1109/IEEEGCC.2011.5752569

Extraction and alignment of facial regions for 3D facial image-based recognition

Naoufel Werghi, Harish Bhaskar, Ali Hasan Ali Mohammed Malek

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Face recognition is the process of identifying a person using his image as biometric data. 3D image-based face recognition is expected to overcome many problems that are faced in traditional 2D face recognition, such as the lack of explicit shape information, pose and lighting variations. However, as a relatively new technology, it does face a number of challenges among them are: 1) How to automatically extract the facial region from the data captured by a 3D facial scanner, which may contain hair, neck and shoulder and possibly other background data and 2) How to precisely and efficiently align two instances of 3D faces. This paper proposes new innovative techniques that address some aspects of these challenges.

Original language	British English
Title of host publication	2011 IEEE GCC Conference and Exhibition, GCC
Pages	429-432
Number of pages	4
DOIs	https://doi.org/10.1109/IEEEGCC.2011.5752569
State	Published - 2011
Event	2011 IEEE GCC Conference and Exhibition, GCC 2011 - Dubai, United Arab Emirates Duration: 19 Feb 2011 → 22 Feb 2011

Publication series

Name	2011 IEEE GCC Conference and Exhibition, GCC 2011

Conference

Conference	2011 IEEE GCC Conference and Exhibition, GCC 2011
Country/Territory	United Arab Emirates
City	Dubai
Period	19/02/11 → 22/02/11

Access to Document

10.1109/IEEEGCC.2011.5752569

Cite this

@inproceedings{5df34204573b4fb4a36b805fcb4bf84e,

title = "Extraction and alignment of facial regions for 3D facial image-based recognition",

abstract = "Face recognition is the process of identifying a person using his image as biometric data. 3D image-based face recognition is expected to overcome many problems that are faced in traditional 2D face recognition, such as the lack of explicit shape information, pose and lighting variations. However, as a relatively new technology, it does face a number of challenges among them are: 1) How to automatically extract the facial region from the data captured by a 3D facial scanner, which may contain hair, neck and shoulder and possibly other background data and 2) How to precisely and efficiently align two instances of 3D faces. This paper proposes new innovative techniques that address some aspects of these challenges.",

author = "Naoufel Werghi and Harish Bhaskar and Malek, {Ali Hasan Ali Mohammed}",

year = "2011",

doi = "10.1109/IEEEGCC.2011.5752569",

language = "British English",

isbn = "9781612841199",

series = "2011 IEEE GCC Conference and Exhibition, GCC 2011",

pages = "429--432",

booktitle = "2011 IEEE GCC Conference and Exhibition, GCC",

note = "2011 IEEE GCC Conference and Exhibition, GCC 2011 ; Conference date: 19-02-2011 Through 22-02-2011",

}

Werghi, N, Bhaskar, H & Malek, AHAM 2011, Extraction and alignment of facial regions for 3D facial image-based recognition. in 2011 IEEE GCC Conference and Exhibition, GCC., 5752569, 2011 IEEE GCC Conference and Exhibition, GCC 2011, pp. 429-432, 2011 IEEE GCC Conference and Exhibition, GCC 2011, Dubai, United Arab Emirates, 19/02/11. https://doi.org/10.1109/IEEEGCC.2011.5752569

Extraction and alignment of facial regions for 3D facial image-based recognition. / Werghi, Naoufel; Bhaskar, Harish; Malek, Ali Hasan Ali Mohammed.
2011 IEEE GCC Conference and Exhibition, GCC. 2011. p. 429-432 5752569 (2011 IEEE GCC Conference and Exhibition, GCC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extraction and alignment of facial regions for 3D facial image-based recognition

AU - Werghi, Naoufel

AU - Bhaskar, Harish

AU - Malek, Ali Hasan Ali Mohammed

PY - 2011

Y1 - 2011

N2 - Face recognition is the process of identifying a person using his image as biometric data. 3D image-based face recognition is expected to overcome many problems that are faced in traditional 2D face recognition, such as the lack of explicit shape information, pose and lighting variations. However, as a relatively new technology, it does face a number of challenges among them are: 1) How to automatically extract the facial region from the data captured by a 3D facial scanner, which may contain hair, neck and shoulder and possibly other background data and 2) How to precisely and efficiently align two instances of 3D faces. This paper proposes new innovative techniques that address some aspects of these challenges.

AB - Face recognition is the process of identifying a person using his image as biometric data. 3D image-based face recognition is expected to overcome many problems that are faced in traditional 2D face recognition, such as the lack of explicit shape information, pose and lighting variations. However, as a relatively new technology, it does face a number of challenges among them are: 1) How to automatically extract the facial region from the data captured by a 3D facial scanner, which may contain hair, neck and shoulder and possibly other background data and 2) How to precisely and efficiently align two instances of 3D faces. This paper proposes new innovative techniques that address some aspects of these challenges.

UR - http://www.scopus.com/inward/record.url?scp=79957972349&partnerID=8YFLogxK

U2 - 10.1109/IEEEGCC.2011.5752569

DO - 10.1109/IEEEGCC.2011.5752569

M3 - Conference contribution

AN - SCOPUS:79957972349

SN - 9781612841199

T3 - 2011 IEEE GCC Conference and Exhibition, GCC 2011

SP - 429

EP - 432

BT - 2011 IEEE GCC Conference and Exhibition, GCC

T2 - 2011 IEEE GCC Conference and Exhibition, GCC 2011

Y2 - 19 February 2011 through 22 February 2011

ER -

Extraction and alignment of facial regions for 3D facial image-based recognition

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this