Enhanced active shape models with global texture constraints for image analysis

Shiguang Shan; Wen Gao; Wei Wang; Debin Zhao; Baocai Yin

doi:10.1007/978-3-540-39592-8_83

Enhanced active shape models with global texture constraints for image analysis

Shiguang Shan
, Wen Gao
, Wei Wang
, Debin Zhao
, Baocai Yin

CAS - Institute of Computing Technology
Beijing University of Technology

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

1 Scopus citations

Abstract

Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the landmarks is re-shaped by the statistical shape constraint as in the ASMs. Then, the global texture is warped out from the original image according to the current shape model, and its reconstruction residual from the pre-trained texture subspace is further exploited to evaluate the fitting degree of the current shape model to the novel image. Also, the texture is exploited to predict and update the shape model parameters before we turn to the next iterative local matching for each landmark. Our experiments on the facial feature analysis have shown the effectiveness of the proposed method.

Original language	English
Title of host publication	Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings
Editors	Ning Zhong, Zbigniew W. Ras, Shusaku Tsumoto, Einoshin Suzuki
Publisher	Springer Verlag
Pages	593-597
Number of pages	5
ISBN (Print)	3540202560, 9783540202561
DOIs	https://doi.org/10.1007/978-3-540-39592-8_83
State	Published - 2003
Externally published	Yes
Event	14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 - Maebashi City, Japan Duration: 28 Oct 2003 → 31 Oct 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2871
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003
Country/Territory	Japan
City	Maebashi City
Period	28/10/03 → 31/10/03

Keywords

Active appearance models (AAMs)
Active shape models (ASMs)
Enhanced active shape models (EASMs)
Global texture constraints (GTC)

Access to Document

10.1007/978-3-540-39592-8_83

Cite this

Shan, S., Gao, W., Wang, W., Zhao, D., & Yin, B. (2003). Enhanced active shape models with global texture constraints for image analysis. In N. Zhong, Z. W. Ras, S. Tsumoto, & E. Suzuki (Eds.), Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings (pp. 593-597). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2871). Springer Verlag. https://doi.org/10.1007/978-3-540-39592-8_83

Shan, Shiguang ; Gao, Wen ; Wang, Wei et al. / Enhanced active shape models with global texture constraints for image analysis. Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. editor / Ning Zhong ; Zbigniew W. Ras ; Shusaku Tsumoto ; Einoshin Suzuki. Springer Verlag, 2003. pp. 593-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0bf50578ee1f457fb09cbec9092fe169,

title = "Enhanced active shape models with global texture constraints for image analysis",

abstract = "Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the landmarks is re-shaped by the statistical shape constraint as in the ASMs. Then, the global texture is warped out from the original image according to the current shape model, and its reconstruction residual from the pre-trained texture subspace is further exploited to evaluate the fitting degree of the current shape model to the novel image. Also, the texture is exploited to predict and update the shape model parameters before we turn to the next iterative local matching for each landmark. Our experiments on the facial feature analysis have shown the effectiveness of the proposed method.",

keywords = "Active appearance models (AAMs), Active shape models (ASMs), Enhanced active shape models (EASMs), Global texture constraints (GTC)",

author = "Shiguang Shan and Wen Gao and Wei Wang and Debin Zhao and Baocai Yin",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 ; Conference date: 28-10-2003 Through 31-10-2003",

year = "2003",

doi = "10.1007/978-3-540-39592-8\_83",

language = "英语",

isbn = "3540202560",

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

publisher = "Springer Verlag",

pages = "593--597",

editor = "Ning Zhong and Ras, \{Zbigniew W.\} and Shusaku Tsumoto and Einoshin Suzuki",

booktitle = "Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings",

address = "德国",

}

Shan, S, Gao, W, Wang, W, Zhao, D & Yin, B 2003, Enhanced active shape models with global texture constraints for image analysis. in N Zhong, ZW Ras, S Tsumoto & E Suzuki (eds), Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2871, Springer Verlag, pp. 593-597, 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, Maebashi City, Japan, 28/10/03. https://doi.org/10.1007/978-3-540-39592-8_83

Enhanced active shape models with global texture constraints for image analysis. / Shan, Shiguang; Gao, Wen; Wang, Wei et al.
Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. ed. / Ning Zhong; Zbigniew W. Ras; Shusaku Tsumoto; Einoshin Suzuki. Springer Verlag, 2003. p. 593-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2871).

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

TY - GEN

T1 - Enhanced active shape models with global texture constraints for image analysis

AU - Shan, Shiguang

AU - Gao, Wen

AU - Wang, Wei

AU - Zhao, Debin

AU - Yin, Baocai

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2003.

PY - 2003

Y1 - 2003

N2 - Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the landmarks is re-shaped by the statistical shape constraint as in the ASMs. Then, the global texture is warped out from the original image according to the current shape model, and its reconstruction residual from the pre-trained texture subspace is further exploited to evaluate the fitting degree of the current shape model to the novel image. Also, the texture is exploited to predict and update the shape model parameters before we turn to the next iterative local matching for each landmark. Our experiments on the facial feature analysis have shown the effectiveness of the proposed method.

AB - Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reconstruction residual in the texture subspace. In the proposed method, each landmark is firstly matched by its local profile in its current neighborhood, and the overall configure of all the landmarks is re-shaped by the statistical shape constraint as in the ASMs. Then, the global texture is warped out from the original image according to the current shape model, and its reconstruction residual from the pre-trained texture subspace is further exploited to evaluate the fitting degree of the current shape model to the novel image. Also, the texture is exploited to predict and update the shape model parameters before we turn to the next iterative local matching for each landmark. Our experiments on the facial feature analysis have shown the effectiveness of the proposed method.

KW - Active appearance models (AAMs)

KW - Active shape models (ASMs)

KW - Enhanced active shape models (EASMs)

KW - Global texture constraints (GTC)

UR - https://www.scopus.com/pages/publications/0142245474

U2 - 10.1007/978-3-540-39592-8_83

DO - 10.1007/978-3-540-39592-8_83

M3 - 会议稿件

AN - SCOPUS:0142245474

SN - 3540202560

SN - 9783540202561

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

SP - 593

EP - 597

BT - Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings

A2 - Zhong, Ning

A2 - Ras, Zbigniew W.

A2 - Tsumoto, Shusaku

A2 - Suzuki, Einoshin

PB - Springer Verlag

T2 - 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003

Y2 - 28 October 2003 through 31 October 2003

ER -

Shan S, Gao W, Wang W, Zhao D, Yin B. Enhanced active shape models with global texture constraints for image analysis. In Zhong N, Ras ZW, Tsumoto S, Suzuki E, editors, Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings. Springer Verlag. 2003. p. 593-597. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-39592-8_83

Enhanced active shape models with global texture constraints for image analysis

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this