Real-time lip contour extraction and tracking using an improved active contour model

Jingying Chen; Bernard Tiddeman; Gang Zhao

doi:10.1007/978-3-540-89646-3_23

Real-time lip contour extraction and tracking using an improved active contour model

Jingying Chen^*, Bernard Tiddeman, Gang Zhao

^*Corresponding author for this work

School of Computer Science

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

Abstract

We present an automatic lip contour extraction and tracking method based on an improved active contour model, which introduces a novel image gradient detection based on the segmented lip, tongue and oral cavity image obtained using a nonlinear transformation of the YCbCr color space and a novel entropy analysis based segmentation. The proposed method provides encouraging results with different mouth shapes (with the appearance of teeth, tongue and oral cavity) under various illuminations.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	236-245
Number of pages	10
Volume	5359 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-89646-3_23
Publication status	Published - 2008
Event	4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States Duration: 1 Dec 2008 → 3 Dec 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5359 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	4th International Symposium on Visual Computing, ISVC 2008
Country/Territory	United States
City	Las Vegas, NV
Period	1/12/08 → 3/12/08

Access to Document

10.1007/978-3-540-89646-3_23

Cite this

Chen, J., Tiddeman, B., & Zhao, G. (2008). Real-time lip contour extraction and tracking using an improved active contour model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5359 LNCS, pp. 236-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5359 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-89646-3_23

Chen, Jingying ; Tiddeman, Bernard ; Zhao, Gang. / Real-time lip contour extraction and tracking using an improved active contour model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5359 LNCS PART 2. ed. 2008. pp. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{7b267defedca497bb7af9ac5124ccd43,

title = "Real-time lip contour extraction and tracking using an improved active contour model",

abstract = "We present an automatic lip contour extraction and tracking method based on an improved active contour model, which introduces a novel image gradient detection based on the segmented lip, tongue and oral cavity image obtained using a nonlinear transformation of the YCbCr color space and a novel entropy analysis based segmentation. The proposed method provides encouraging results with different mouth shapes (with the appearance of teeth, tongue and oral cavity) under various illuminations.",

author = "Jingying Chen and Bernard Tiddeman and Gang Zhao",

year = "2008",

doi = "10.1007/978-3-540-89646-3\_23",

language = "English",

isbn = "3540896457",

volume = "5359 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "236--245",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

edition = "PART 2",

note = "4th International Symposium on Visual Computing, ISVC 2008 ; Conference date: 01-12-2008 Through 03-12-2008",

}

Chen, J, Tiddeman, B & Zhao, G 2008, Real-time lip contour extraction and tracking using an improved active contour model. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5359 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5359 LNCS, pp. 236-245, 4th International Symposium on Visual Computing, ISVC 2008, Las Vegas, NV, United States, 1/12/08. https://doi.org/10.1007/978-3-540-89646-3_23

Real-time lip contour extraction and tracking using an improved active contour model. / Chen, Jingying; Tiddeman, Bernard; Zhao, Gang.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5359 LNCS PART 2. ed. 2008. p. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5359 LNCS, No. PART 2).

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

TY - GEN

T1 - Real-time lip contour extraction and tracking using an improved active contour model

AU - Chen, Jingying

AU - Tiddeman, Bernard

AU - Zhao, Gang

PY - 2008

Y1 - 2008

N2 - We present an automatic lip contour extraction and tracking method based on an improved active contour model, which introduces a novel image gradient detection based on the segmented lip, tongue and oral cavity image obtained using a nonlinear transformation of the YCbCr color space and a novel entropy analysis based segmentation. The proposed method provides encouraging results with different mouth shapes (with the appearance of teeth, tongue and oral cavity) under various illuminations.

AB - We present an automatic lip contour extraction and tracking method based on an improved active contour model, which introduces a novel image gradient detection based on the segmented lip, tongue and oral cavity image obtained using a nonlinear transformation of the YCbCr color space and a novel entropy analysis based segmentation. The proposed method provides encouraging results with different mouth shapes (with the appearance of teeth, tongue and oral cavity) under various illuminations.

UR - https://www.scopus.com/pages/publications/70149103581

U2 - 10.1007/978-3-540-89646-3_23

DO - 10.1007/978-3-540-89646-3_23

M3 - Conference contribution

AN - SCOPUS:70149103581

SN - 3540896457

SN - 9783540896456

VL - 5359 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 4th International Symposium on Visual Computing, ISVC 2008

Y2 - 1 December 2008 through 3 December 2008

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Chen J, Tiddeman B, Zhao G. Real-time lip contour extraction and tracking using an improved active contour model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5359 LNCS. 2008. p. 236-245. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-89646-3_23

Real-time lip contour extraction and tracking using an improved active contour model

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PROTOTYPING TRANS FACIAL APPREARENCE DYN: Prototyping and transformaing facial appearance and dynamics using 3D performance models

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Real-time lip contour extraction and tracking using an improved active contour model

Abstract

Publication series

Conference

Access to Document

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Fingerprint

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PROTOTYPING TRANS FACIAL APPREARENCE DYN: Prototyping and transformaing facial appearance and dynamics using 3D performance models

Cite this