Robust 3D face shape estimation using multiple deformable models

Jinkyu Hwang; Woowon Kim; Yuseok Ban; Sangyoun Lee

doi:10.1109/ICIEA.2011.5975912

Robust 3D face shape estimation using multiple deformable models

Jinkyu Hwang, Woowon Kim, Yuseok Ban, Sangyoun Lee

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

In this paper, we present the robust and fast 3D face shape estimation system which consists of two mirrors and a camera. In the face shape estimation procedure, we propose the iterative shape estimation algorithm using the multiple deformable models. In the experiments, we reduce the processing time by using only few vertices in an input face image. Our proposed algorithm shows accurate face shape estimation result when compared with the ground truth. To evaluate the robustness to the positional errors in our algorithm, two experiments are carried out. The results show that our proposed algorithm is more robust to the positional errors than other 3D reconstruction algorithms.

Original language	English
Title of host publication	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages	1953-1958
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEA.2011.5975912
Publication status	Published - 2011
Event	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China Duration: 2011 Jun 21 → 2011 Jun 23

Publication series

Name	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Other

Other	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/Territory	China
City	Beijing
Period	11/6/21 → 11/6/23

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICIEA.2011.5975912

Cite this

Hwang, J., Kim, W., Ban, Y., & Lee, S. (2011). Robust 3D face shape estimation using multiple deformable models. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 (pp. 1953-1958). Article 5975912 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). https://doi.org/10.1109/ICIEA.2011.5975912

@inproceedings{931d7cff32e1438ea5040231a5fcdff4,

title = "Robust 3D face shape estimation using multiple deformable models",

abstract = "In this paper, we present the robust and fast 3D face shape estimation system which consists of two mirrors and a camera. In the face shape estimation procedure, we propose the iterative shape estimation algorithm using the multiple deformable models. In the experiments, we reduce the processing time by using only few vertices in an input face image. Our proposed algorithm shows accurate face shape estimation result when compared with the ground truth. To evaluate the robustness to the positional errors in our algorithm, two experiments are carried out. The results show that our proposed algorithm is more robust to the positional errors than other 3D reconstruction algorithms.",

author = "Jinkyu Hwang and Woowon Kim and Yuseok Ban and Sangyoun Lee",

year = "2011",

doi = "10.1109/ICIEA.2011.5975912",

language = "English",

isbn = "9781424487554",

series = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

pages = "1953--1958",

booktitle = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

note = "2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 ; Conference date: 21-06-2011 Through 23-06-2011",

}

Hwang, J, Kim, W, Ban, Y & Lee, S 2011, Robust 3D face shape estimation using multiple deformable models. in Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011., 5975912, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, pp. 1953-1958, 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, Beijing, China, 11/6/21. https://doi.org/10.1109/ICIEA.2011.5975912

Robust 3D face shape estimation using multiple deformable models. / Hwang, Jinkyu; Kim, Woowon; Ban, Yuseok et al.
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 1953-1958 5975912 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011).

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

TY - GEN

T1 - Robust 3D face shape estimation using multiple deformable models

AU - Hwang, Jinkyu

AU - Kim, Woowon

AU - Ban, Yuseok

AU - Lee, Sangyoun

PY - 2011

Y1 - 2011

N2 - In this paper, we present the robust and fast 3D face shape estimation system which consists of two mirrors and a camera. In the face shape estimation procedure, we propose the iterative shape estimation algorithm using the multiple deformable models. In the experiments, we reduce the processing time by using only few vertices in an input face image. Our proposed algorithm shows accurate face shape estimation result when compared with the ground truth. To evaluate the robustness to the positional errors in our algorithm, two experiments are carried out. The results show that our proposed algorithm is more robust to the positional errors than other 3D reconstruction algorithms.

AB - In this paper, we present the robust and fast 3D face shape estimation system which consists of two mirrors and a camera. In the face shape estimation procedure, we propose the iterative shape estimation algorithm using the multiple deformable models. In the experiments, we reduce the processing time by using only few vertices in an input face image. Our proposed algorithm shows accurate face shape estimation result when compared with the ground truth. To evaluate the robustness to the positional errors in our algorithm, two experiments are carried out. The results show that our proposed algorithm is more robust to the positional errors than other 3D reconstruction algorithms.

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DO - 10.1109/ICIEA.2011.5975912

M3 - Conference contribution

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SN - 9781424487554

T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

SP - 1953

EP - 1958

BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Y2 - 21 June 2011 through 23 June 2011

ER -

Robust 3D face shape estimation using multiple deformable models

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