Face orientation estimation by particle swarm optimization

Yudong Zhang; Lenan Wu; Zhengchao Dong; Shuihua Wang; Zhengyu Zhou

doi:10.1109/ISISE.2009.10

Face orientation estimation by particle swarm optimization

Yudong Zhang^*, Lenan Wu, Zhengchao Dong, Shuihua Wang, Zhengyu Zhou

^*Corresponding author for this work

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

9 Citations (Scopus)

Abstract

Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.

Original language	English
Title of host publication	2nd International Symposium on Information Science and Engineering, ISISE 2009
Publisher	IEEE Computer Society
Pages	388-391
Number of pages	4
ISBN (Print)	9780769539911
DOIs	https://doi.org/10.1109/ISISE.2009.10
Publication status	Published - 2009
Externally published	Yes
Event	2009 2nd International Symposium on Information Science and Engineering, ISISE 2009 - Shanghai, China Duration: 26 Dec 2009 → 28 Dec 2009

Publication series

Name	2nd International Symposium on Information Science and Engineering, ISISE 2009

Conference

Conference	2009 2nd International Symposium on Information Science and Engineering, ISISE 2009
Country/Territory	China
City	Shanghai
Period	26/12/09 → 28/12/09

Keywords

6-point template
Face orientation estimation
Particle swarm optimization

Access to Document

10.1109/ISISE.2009.10

Cite this

Zhang, Y., Wu, L., Dong, Z., Wang, S., & Zhou, Z. (2009). Face orientation estimation by particle swarm optimization. In 2nd International Symposium on Information Science and Engineering, ISISE 2009 (pp. 388-391). Article 5447243 (2nd International Symposium on Information Science and Engineering, ISISE 2009). IEEE Computer Society. https://doi.org/10.1109/ISISE.2009.10

@inproceedings{1c4f1a1c7d324007a190678fe2405224,

title = "Face orientation estimation by particle swarm optimization",

abstract = "Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.",

keywords = "6-point template, Face orientation estimation, Particle swarm optimization",

author = "Yudong Zhang and Lenan Wu and Zhengchao Dong and Shuihua Wang and Zhengyu Zhou",

year = "2009",

doi = "10.1109/ISISE.2009.10",

language = "English",

isbn = "9780769539911",

series = "2nd International Symposium on Information Science and Engineering, ISISE 2009",

publisher = "IEEE Computer Society",

pages = "388--391",

booktitle = "2nd International Symposium on Information Science and Engineering, ISISE 2009",

note = "2009 2nd International Symposium on Information Science and Engineering, ISISE 2009 ; Conference date: 26-12-2009 Through 28-12-2009",

}

Zhang, Y, Wu, L, Dong, Z, Wang, S & Zhou, Z 2009, Face orientation estimation by particle swarm optimization. in 2nd International Symposium on Information Science and Engineering, ISISE 2009., 5447243, 2nd International Symposium on Information Science and Engineering, ISISE 2009, IEEE Computer Society, pp. 388-391, 2009 2nd International Symposium on Information Science and Engineering, ISISE 2009, Shanghai, China, 26/12/09. https://doi.org/10.1109/ISISE.2009.10

Face orientation estimation by particle swarm optimization. / Zhang, Yudong; Wu, Lenan; Dong, Zhengchao et al.
2nd International Symposium on Information Science and Engineering, ISISE 2009. IEEE Computer Society, 2009. p. 388-391 5447243 (2nd International Symposium on Information Science and Engineering, ISISE 2009).

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

TY - GEN

T1 - Face orientation estimation by particle swarm optimization

AU - Zhang, Yudong

AU - Wu, Lenan

AU - Dong, Zhengchao

AU - Wang, Shuihua

AU - Zhou, Zhengyu

PY - 2009

Y1 - 2009

N2 - Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.

AB - Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.

KW - 6-point template

KW - Face orientation estimation

KW - Particle swarm optimization

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U2 - 10.1109/ISISE.2009.10

DO - 10.1109/ISISE.2009.10

M3 - Conference Proceeding

AN - SCOPUS:77952618951

SN - 9780769539911

T3 - 2nd International Symposium on Information Science and Engineering, ISISE 2009

SP - 388

EP - 391

BT - 2nd International Symposium on Information Science and Engineering, ISISE 2009

PB - IEEE Computer Society

T2 - 2009 2nd International Symposium on Information Science and Engineering, ISISE 2009

Y2 - 26 December 2009 through 28 December 2009

ER -

Face orientation estimation by particle swarm optimization

Abstract

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Conference

Keywords

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