The landmark variation improvement on the different modalities for the facial sketch features detection

Arif Muntasa; Mochammad Kautsar Sophan; Mauridhi P. Hery; Kondo Kunio

doi:10.1109/ICCircuitsAndSystems.2012.6408330

The landmark variation improvement on the different modalities for the facial sketch features detection

Arif Muntasa^*, Mochammad Kautsar Sophan, Mauridhi P. Hery, Kondo Kunio

^*Corresponding author for this work

Research Center for Artificial Intelligence and Health Technology (KATK)

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

1 Citation (Scopus)

Abstract

Facial feature detection studies on the same modality have been conducted by many researchers, but the research results cannot be implemented on the different modality, only a few studies that can be used to detect the facial features on the different modality. In this research, we proposed method to detect the facial features on the different modality. The deviation standard on the landmark variations improvement has been considered as parameters to improve the moving direction toward the corresponding features. The experimental results show that the detection accuracy of our proposed method is 91.944% for the 1^st model and 91.46% for the 2^nd model. Our proposed method has been shown outperformed the mixture model method.

Original language	English
Title of host publication	ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems
Subtitle of host publication	"Advanced Circuits and Systems for Sustainability"
Pages	131-136
Number of pages	6
DOIs	https://doi.org/10.1109/ICCircuitsAndSystems.2012.6408330
Publication status	Published - 2012
Event	2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", ICCAS 2012 - Kuala Lumpur, Malaysia Duration: 3 Oct 2012 → 4 Oct 2012

Publication series

Name	ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"

Conference

Conference	2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", ICCAS 2012
Country/Territory	Malaysia
City	Kuala Lumpur
Period	3/10/12 → 4/10/12

Keywords

detection
facial features
landmark variation
the different modality

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10.1109/ICCircuitsAndSystems.2012.6408330

Cite this

Muntasa, A., Sophan, M. K., Hery, M. P., & Kunio, K. (2012). The landmark variation improvement on the different modalities for the facial sketch features detection. In ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability" (pp. 131-136). Article 6408330 (ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"). https://doi.org/10.1109/ICCircuitsAndSystems.2012.6408330

Muntasa, Arif ; Sophan, Mochammad Kautsar ; Hery, Mauridhi P. et al. / The landmark variation improvement on the different modalities for the facial sketch features detection. ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability". 2012. pp. 131-136 (ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability").

@inproceedings{3fa5e17000724a2b8b8c66a4bd6f6037,

title = "The landmark variation improvement on the different modalities for the facial sketch features detection",

abstract = "Facial feature detection studies on the same modality have been conducted by many researchers, but the research results cannot be implemented on the different modality, only a few studies that can be used to detect the facial features on the different modality. In this research, we proposed method to detect the facial features on the different modality. The deviation standard on the landmark variations improvement has been considered as parameters to improve the moving direction toward the corresponding features. The experimental results show that the detection accuracy of our proposed method is 91.944% for the 1st model and 91.46% for the 2nd model. Our proposed method has been shown outperformed the mixture model method.",

keywords = "detection, facial features, landmark variation, the different modality",

author = "Arif Muntasa and Sophan, {Mochammad Kautsar} and Hery, {Mauridhi P.} and Kondo Kunio",

year = "2012",

doi = "10.1109/ICCircuitsAndSystems.2012.6408330",

language = "English",

isbn = "9781467331197",

series = "ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: {"}Advanced Circuits and Systems for Sustainability{"}",

pages = "131--136",

booktitle = "ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems",

note = "2012 IEEE International Conference on Circuits and Systems: {"}Advanced Circuits and Systems for Sustainability{"}, ICCAS 2012 ; Conference date: 03-10-2012 Through 04-10-2012",

}

Muntasa, A, Sophan, MK, Hery, MP & Kunio, K 2012, The landmark variation improvement on the different modalities for the facial sketch features detection. in ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"., 6408330, ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", pp. 131-136, 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", ICCAS 2012, Kuala Lumpur, Malaysia, 3/10/12. https://doi.org/10.1109/ICCircuitsAndSystems.2012.6408330

The landmark variation improvement on the different modalities for the facial sketch features detection. / Muntasa, Arif; Sophan, Mochammad Kautsar; Hery, Mauridhi P. et al.
ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability". 2012. p. 131-136 6408330 (ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability").

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

TY - GEN

T1 - The landmark variation improvement on the different modalities for the facial sketch features detection

AU - Muntasa, Arif

AU - Sophan, Mochammad Kautsar

AU - Hery, Mauridhi P.

AU - Kunio, Kondo

PY - 2012

Y1 - 2012

N2 - Facial feature detection studies on the same modality have been conducted by many researchers, but the research results cannot be implemented on the different modality, only a few studies that can be used to detect the facial features on the different modality. In this research, we proposed method to detect the facial features on the different modality. The deviation standard on the landmark variations improvement has been considered as parameters to improve the moving direction toward the corresponding features. The experimental results show that the detection accuracy of our proposed method is 91.944% for the 1st model and 91.46% for the 2nd model. Our proposed method has been shown outperformed the mixture model method.

AB - Facial feature detection studies on the same modality have been conducted by many researchers, but the research results cannot be implemented on the different modality, only a few studies that can be used to detect the facial features on the different modality. In this research, we proposed method to detect the facial features on the different modality. The deviation standard on the landmark variations improvement has been considered as parameters to improve the moving direction toward the corresponding features. The experimental results show that the detection accuracy of our proposed method is 91.944% for the 1st model and 91.46% for the 2nd model. Our proposed method has been shown outperformed the mixture model method.

KW - detection

KW - facial features

KW - landmark variation

KW - the different modality

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T3 - ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"

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Muntasa A, Sophan MK, Hery MP, Kunio K. The landmark variation improvement on the different modalities for the facial sketch features detection. In ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability". 2012. p. 131-136. 6408330. (ICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"). doi: 10.1109/ICCircuitsAndSystems.2012.6408330

The landmark variation improvement on the different modalities for the facial sketch features detection

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