iFR: interactively pose corrected face recognition

Simon Nash; Mark Rhodes; Joanna Isabelle Olszewska

doi:10.5220/0005857801060112

iFR: interactively pose corrected face recognition

Simon Nash, Mark Rhodes, Joanna Isabelle Olszewska

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

4 Citations (Scopus)

Abstract

Although face recognition applications are growing, robust face recognition is still a challenging task due e.g. to variations on face poses, facial expressions, or lighting conditions. In this paper, we propose a new method which allows both automatic face detection and recognition and incorporates an interactive selection of facial features in conjunction with our new pose-correction algorithm. Our resulting system we call iFR successfully recognizes faces across pose, while being computationally efficient and outperforming standard approaches, as demonstrated in tests carried out on publicly available standard datasets.

Original language	English
Title of host publication	Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Subtitle of host publication	BIOSIGNALS, (BIOSTEC 2016)
Pages	106-112
Number of pages	7
Volume	4
DOIs	https://doi.org/10.5220/0005857801060112
Publication status	Published - 23 Feb 2016
Externally published	Yes
Event	9th International Joint Conference on Biomedical Engineering Systems and Technologies - Rome, Italy Duration: 21 Feb 2016 → 23 Feb 2016 Conference number: 9 http://www.biostec.org/?y=2016

Conference

Conference	9th International Joint Conference on Biomedical Engineering Systems and Technologies
Abbreviated title	BIOSTEC 2016
Country/Territory	Italy
City	Rome
Period	21/02/16 → 23/02/16
Internet address	http://www.biostec.org/?y=2016

Keywords

Face Detection
Face Recognition
AdaBoost
Template
Facial Features
Eigenfaces
Pose Correction
Human-Computer Interactive Systems

Access to Document

10.5220/0005857801060112

Cite this

@inproceedings{e0c0e06bfe7e450a91bb02f8f947da0e,

title = "iFR: interactively pose corrected face recognition",

abstract = "Although face recognition applications are growing, robust face recognition is still a challenging task due e.g. to variations on face poses, facial expressions, or lighting conditions. In this paper, we propose a new method which allows both automatic face detection and recognition and incorporates an interactive selection of facial features in conjunction with our new pose-correction algorithm. Our resulting system we call iFR successfully recognizes faces across pose, while being computationally efficient and outperforming standard approaches, as demonstrated in tests carried out on publicly available standard datasets.",

keywords = "Face Detection, Face Recognition, AdaBoost, Template, Facial Features, Eigenfaces, Pose Correction, Human-Computer Interactive Systems",

author = "Simon Nash and Mark Rhodes and Olszewska, {Joanna Isabelle}",

year = "2016",

month = feb,

day = "23",

doi = "10.5220/0005857801060112",

language = "English",

isbn = "9789897581700",

volume = "4",

pages = "106--112",

booktitle = "Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies",

note = "9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 ; Conference date: 21-02-2016 Through 23-02-2016",

url = "http://www.biostec.org/?y=2016",

}

Nash, S, Rhodes, M & Olszewska, JI 2016, iFR: interactively pose corrected face recognition. in Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSIGNALS, (BIOSTEC 2016). vol. 4, pp. 106-112, 9th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, 21/02/16. https://doi.org/10.5220/0005857801060112

iFR: interactively pose corrected face recognition. / Nash, Simon; Rhodes, Mark; Olszewska, Joanna Isabelle.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSIGNALS, (BIOSTEC 2016). Vol. 4 2016. p. 106-112.

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

TY - GEN

T1 - iFR

T2 - 9th International Joint Conference on Biomedical Engineering Systems and Technologies

AU - Nash, Simon

AU - Rhodes, Mark

AU - Olszewska, Joanna Isabelle

N1 - Conference code: 9

PY - 2016/2/23

Y1 - 2016/2/23

N2 - Although face recognition applications are growing, robust face recognition is still a challenging task due e.g. to variations on face poses, facial expressions, or lighting conditions. In this paper, we propose a new method which allows both automatic face detection and recognition and incorporates an interactive selection of facial features in conjunction with our new pose-correction algorithm. Our resulting system we call iFR successfully recognizes faces across pose, while being computationally efficient and outperforming standard approaches, as demonstrated in tests carried out on publicly available standard datasets.

AB - Although face recognition applications are growing, robust face recognition is still a challenging task due e.g. to variations on face poses, facial expressions, or lighting conditions. In this paper, we propose a new method which allows both automatic face detection and recognition and incorporates an interactive selection of facial features in conjunction with our new pose-correction algorithm. Our resulting system we call iFR successfully recognizes faces across pose, while being computationally efficient and outperforming standard approaches, as demonstrated in tests carried out on publicly available standard datasets.

KW - Face Detection

KW - Face Recognition

KW - AdaBoost

KW - Template

KW - Facial Features

KW - Eigenfaces

KW - Pose Correction

KW - Human-Computer Interactive Systems

U2 - 10.5220/0005857801060112

DO - 10.5220/0005857801060112

M3 - Conference contribution

SN - 9789897581700

VL - 4

SP - 106

EP - 112

BT - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

Y2 - 21 February 2016 through 23 February 2016

ER -

iFR: interactively pose corrected face recognition

Abstract

Conference

Keywords

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