Tracking facial feature points with Gabor wavelets and shape models

SJ McKenna; SG Gong; RP Wurtz; J Tanner; D Banin

Tracking facial feature points with Gabor wavelets and shape models

SJ McKenna^*, SG Gong, RP Wurtz, J Tanner, D Banin

^*Corresponding author for this work

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

55 Citations (Scopus)

Abstract

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.

Original language	English
Title of host publication	AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION
Editors	J Bigun, G Chollet, G Borgefors
Place of Publication	BERLIN 33
Publisher	Springer
Pages	35-42
Number of pages	8
ISBN (Print)	3-540-62660-3
Publication status	Published - 1997
Event	1st International Conference on Audio-Based and Video-Based Biometric Person Authentication (AVBPA 97) - , Switzerland Duration: 12-Mar-1997 → 14-Mar-1997

Publication series

Name	LECTURE NOTES IN COMPUTER SCIENCE
Publisher	SPRINGER-VERLAG BERLIN
Volume	1206
ISSN (Print)	0302-9743

Other

Other	1st International Conference on Audio-Based and Video-Based Biometric Person Authentication (AVBPA 97)
Country/Territory	Switzerland
Period	12/03/1997 → 14/03/1997

Handle.net

Persistent link

Cite this

@inproceedings{5c9268b83fc240a391373e7886b0b889,

title = "Tracking facial feature points with Gabor wavelets and shape models",

abstract = "A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.",

author = "SJ McKenna and SG Gong and RP Wurtz and J Tanner and D Banin",

year = "1997",

language = "English",

isbn = "3-540-62660-3",

series = "LECTURE NOTES IN COMPUTER SCIENCE",

publisher = "Springer",

pages = "35--42",

editor = "J Bigun and G Chollet and G Borgefors",

booktitle = "AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION",

note = "1st International Conference on Audio-Based and Video-Based Biometric Person Authentication (AVBPA 97) ; Conference date: 12-03-1997 Through 14-03-1997",

}

McKenna, SJ, Gong, SG, Wurtz, RP, Tanner, J & Banin, D 1997, Tracking facial feature points with Gabor wavelets and shape models. in J Bigun, G Chollet & G Borgefors (eds), AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION. LECTURE NOTES IN COMPUTER SCIENCE, vol. 1206, Springer, BERLIN 33, pp. 35-42, 1st International Conference on Audio-Based and Video-Based Biometric Person Authentication (AVBPA 97), Switzerland, 12/03/1997.

Tracking facial feature points with Gabor wavelets and shape models. / McKenna, SJ; Gong, SG; Wurtz, RP et al.
AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION. ed. / J Bigun; G Chollet; G Borgefors. BERLIN 33: Springer, 1997. p. 35-42 (LECTURE NOTES IN COMPUTER SCIENCE; Vol. 1206).

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

TY - GEN

T1 - Tracking facial feature points with Gabor wavelets and shape models

AU - McKenna, SJ

AU - Gong, SG

AU - Wurtz, RP

AU - Tanner, J

AU - Banin, D

PY - 1997

Y1 - 1997

N2 - A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.

AB - A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.

M3 - Conference contribution

SN - 3-540-62660-3

T3 - LECTURE NOTES IN COMPUTER SCIENCE

SP - 35

EP - 42

BT - AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION

A2 - Bigun, J

A2 - Chollet, G

A2 - Borgefors, G

PB - Springer

CY - BERLIN 33

T2 - 1st International Conference on Audio-Based and Video-Based Biometric Person Authentication (AVBPA 97)

Y2 - 12 March 1997 through 14 March 1997

ER -

Tracking facial feature points with Gabor wavelets and shape models

Abstract

Publication series

Other

Handle.net

Fingerprint

Cite this