Automatic Extraction of Lip Feature Points

Roland GOECKE; J. Bruce Millar; Alexander Zelinsky; Jordi Robert-Ribes

Automatic Extraction of Lip Feature Points

Roland GOECKE, J. Bruce Millar, Alexander Zelinsky, Jordi Robert-Ribes

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

Abstract

We present a novyl algorithm for the robust and reliable automatic extraction of lip featu;re points for speechreading. The algorithm uses a combination of colour information in the im- age data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence mea- sure quantifying how well the feature extraction process worked is introduced. A parameter set describing the shape of the mouth is. derived from the positions of the feature points. Using a stereo camera system, measurements are in 3D. Such a 3D parameter set is of great value for automatic speech-reading systems.

Original language	English
Title of host publication	Proceedings of the Australian Conference on Robotics and Automation ACRA 2000
Place of Publication	Melbourne
Publisher	Australian Robotics & Automation Association
Pages	31-36
Number of pages	6
ISBN (Print)	0732621410
Publication status	Published - 30 Aug 2000
Event	Australian Conference on Robotics and Automation ACRA 2000 - Melbourne, Australia Duration: 30 Aug 2000 → 1 Sept 2000

Conference

Conference	Australian Conference on Robotics and Automation ACRA 2000
Abbreviated title	ACRA 2000
Country/Territory	Australia
City	Melbourne
Period	30/08/00 → 1/09/00

Access to Document

http://www.araa.asn.au/acra/acra2000/papers/paper06.pdf

Cite this

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title = "Automatic Extraction of Lip Feature Points",

abstract = "We present a novyl algorithm for the robust and reliable automatic extraction of lip featu;re points for speechreading. The algorithm uses a combination of colour information in the im- age data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence mea- sure quantifying how well the feature extraction process worked is introduced. A parameter set describing the shape of the mouth is. derived from the positions of the feature points. Using a stereo camera system, measurements are in 3D. Such a 3D parameter set is of great value for automatic speech-reading systems.",

keywords = "Lip tracking",

author = "Roland GOECKE and Millar, {J. Bruce} and Alexander Zelinsky and Jordi Robert-Ribes",

year = "2000",

month = aug,

day = "30",

language = "English",

isbn = "0732621410",

pages = "31--36",

booktitle = "Proceedings of the Australian Conference on Robotics and Automation ACRA 2000",

publisher = "Australian Robotics & Automation Association",

note = "Australian Conference on Robotics and Automation ACRA 2000, ACRA 2000 ; Conference date: 30-08-2000 Through 01-09-2000",

}

GOECKE, R, Millar, JB, Zelinsky, A & Robert-Ribes, J 2000, Automatic Extraction of Lip Feature Points. in Proceedings of the Australian Conference on Robotics and Automation ACRA 2000. Australian Robotics & Automation Association, Melbourne, pp. 31-36, Australian Conference on Robotics and Automation ACRA 2000, Melbourne, Victoria, Australia, 30/08/00. <http://www.araa.asn.au/acra/acra2000/papers/paper06.pdf>

TY - GEN

T1 - Automatic Extraction of Lip Feature Points

AU - GOECKE, Roland

AU - Millar, J. Bruce

AU - Zelinsky, Alexander

AU - Robert-Ribes, Jordi

PY - 2000/8/30

Y1 - 2000/8/30

N2 - We present a novyl algorithm for the robust and reliable automatic extraction of lip featu;re points for speechreading. The algorithm uses a combination of colour information in the im- age data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence mea- sure quantifying how well the feature extraction process worked is introduced. A parameter set describing the shape of the mouth is. derived from the positions of the feature points. Using a stereo camera system, measurements are in 3D. Such a 3D parameter set is of great value for automatic speech-reading systems.

AB - We present a novyl algorithm for the robust and reliable automatic extraction of lip featu;re points for speechreading. The algorithm uses a combination of colour information in the im- age data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence mea- sure quantifying how well the feature extraction process worked is introduced. A parameter set describing the shape of the mouth is. derived from the positions of the feature points. Using a stereo camera system, measurements are in 3D. Such a 3D parameter set is of great value for automatic speech-reading systems.

KW - Lip tracking

UR - https://www.mendeley.com/catalogue/automatic-extraction-lip-feature-points/

UR - http://www.araa.asn.au/conferences/acra-2000/table-of-contents/

M3 - Conference contribution

SN - 0732621410

SP - 31

EP - 36

BT - Proceedings of the Australian Conference on Robotics and Automation ACRA 2000

PB - Australian Robotics & Automation Association

CY - Melbourne

T2 - Australian Conference on Robotics and Automation ACRA 2000

Y2 - 30 August 2000 through 1 September 2000

ER -

Automatic Extraction of Lip Feature Points

Abstract

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