Eye extraction using spatial fuzzy clustering method

K. W. Tse; W. H. Lau; S. H. Leung; Alan W.C. Liew

doi:10.1109/TENCON.2002.1181326

Eye extraction using spatial fuzzy clustering method

K. W. Tse
, W. H. Lau
, S. H. Leung
, Alan W.C. Liew

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Facial features extraction and tracking are crucial steps for many multimedia communication applications such as automated visual interpretation, human face recognition, and development of high quality model-based coding (e.g. MPEG-4) systems. Among different facial features, eyes and lip play an important role in either recognition process or teleconferencing applications. However, automatic human facial features detection is a difficult task due to different scale, rotation and translation of the features.
This paper describes a computational approach for locating the eye position from a given eye window. The proposed algorithm will extract the eye in two stages. The iris will first be extracted using a region-based energy minimization approach from the membership map generated by the spatial fuzzy clustering technique. In second two, control points will be detected to locate the sclera and two parabolas will be used to model the upper and lower eyelids. Satisfactory results have been achieved with the proposed method.
© 2002 IEEE

Original language	English
Title of host publication	2002 IEEE Region 10 Conference on Computer, Communications, Control and Power Engineering
Subtitle of host publication	IEEE TENCOM'02
Editors	Baozong YUAN , Xiaofang TANG
Publisher	IEEE
Pages	515-518
Volume	1
ISBN (Print)	0-7803-7490-8
DOIs	https://doi.org/10.1109/TENCON.2002.1181326
Publication status	Published - Oct 2002
Event	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCOM '02) - Beijing, China Duration: 28 Oct 2002 → 31 Oct 2002

Conference

Conference	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCOM '02)
Place	China
City	Beijing
Period	28/10/02 → 31/10/02

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@inproceedings{4375b4c0ae3a421c9fd10eac28a2bd4e,

title = "Eye extraction using spatial fuzzy clustering method",

abstract = "Facial features extraction and tracking are crucial steps for many multimedia communication applications such as automated visual interpretation, human face recognition, and development of high quality model-based coding (e.g. MPEG-4) systems. Among different facial features, eyes and lip play an important role in either recognition process or teleconferencing applications. However, automatic human facial features detection is a difficult task due to different scale, rotation and translation of the features. This paper describes a computational approach for locating the eye position from a given eye window. The proposed algorithm will extract the eye in two stages. The iris will first be extracted using a region-based energy minimization approach from the membership map generated by the spatial fuzzy clustering technique. In second two, control points will be detected to locate the sclera and two parabolas will be used to model the upper and lower eyelids. Satisfactory results have been achieved with the proposed method. {\textcopyright} 2002 IEEE",

author = "Tse, \{K. W.\} and Lau, \{W. H.\} and Leung, \{S. H.\} and Liew, \{Alan W.C.\}",

year = "2002",

month = oct,

doi = "10.1109/TENCON.2002.1181326",

language = "English",

isbn = "0-7803-7490-8",

volume = "1",

pages = "515--518",

editor = "\{YUAN \}, Baozong and \{TANG \}, Xiaofang",

booktitle = "2002 IEEE Region 10 Conference on Computer, Communications, Control and Power Engineering",

publisher = "IEEE",

address = "United States",

note = "2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCOM '02) ; Conference date: 28-10-2002 Through 31-10-2002",

}

Tse, KW, Lau, WH , Leung, SH & Liew, AWC 2002, Eye extraction using spatial fuzzy clustering method. in B YUAN & X TANG (eds), 2002 IEEE Region 10 Conference on Computer, Communications, Control and Power Engineering: IEEE TENCOM'02. vol. 1, IEEE, pp. 515-518, 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCOM '02), Beijing, China, 28/10/02. https://doi.org/10.1109/TENCON.2002.1181326

Eye extraction using spatial fuzzy clustering method. / Tse, K. W.; Lau, W. H.; Leung, S. H. et al.
2002 IEEE Region 10 Conference on Computer, Communications, Control and Power Engineering: IEEE TENCOM'02. ed. / Baozong YUAN ; Xiaofang TANG . Vol. 1 IEEE, 2002. p. 515-518.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Eye extraction using spatial fuzzy clustering method

AU - Tse, K. W.

AU - Lau, W. H.

AU - Leung, S. H.

AU - Liew, Alan W.C.

PY - 2002/10

Y1 - 2002/10

N2 - Facial features extraction and tracking are crucial steps for many multimedia communication applications such as automated visual interpretation, human face recognition, and development of high quality model-based coding (e.g. MPEG-4) systems. Among different facial features, eyes and lip play an important role in either recognition process or teleconferencing applications. However, automatic human facial features detection is a difficult task due to different scale, rotation and translation of the features. This paper describes a computational approach for locating the eye position from a given eye window. The proposed algorithm will extract the eye in two stages. The iris will first be extracted using a region-based energy minimization approach from the membership map generated by the spatial fuzzy clustering technique. In second two, control points will be detected to locate the sclera and two parabolas will be used to model the upper and lower eyelids. Satisfactory results have been achieved with the proposed method. © 2002 IEEE

AB - Facial features extraction and tracking are crucial steps for many multimedia communication applications such as automated visual interpretation, human face recognition, and development of high quality model-based coding (e.g. MPEG-4) systems. Among different facial features, eyes and lip play an important role in either recognition process or teleconferencing applications. However, automatic human facial features detection is a difficult task due to different scale, rotation and translation of the features. This paper describes a computational approach for locating the eye position from a given eye window. The proposed algorithm will extract the eye in two stages. The iris will first be extracted using a region-based energy minimization approach from the membership map generated by the spatial fuzzy clustering technique. In second two, control points will be detected to locate the sclera and two parabolas will be used to model the upper and lower eyelids. Satisfactory results have been achieved with the proposed method. © 2002 IEEE

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0038337073&origin=recordpage

U2 - 10.1109/TENCON.2002.1181326

DO - 10.1109/TENCON.2002.1181326

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-7490-8

VL - 1

SP - 515

EP - 518

BT - 2002 IEEE Region 10 Conference on Computer, Communications, Control and Power Engineering

A2 - YUAN , Baozong

A2 - TANG , Xiaofang

PB - IEEE

T2 - 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCOM '02)

Y2 - 28 October 2002 through 31 October 2002

ER -

Eye extraction using spatial fuzzy clustering method

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