Face contour location based on multiple-step hiding genetic algorithm

Lanyan Xue; Jianjia Pan; Baochang Pan; Shenglin Zheng; Yuan Yan Tang

doi:10.1109/ICSMC.2007.4413906

Face contour location based on multiple-step hiding genetic algorithm

Lanyan Xue^*
, Jianjia Pan
, Baochang Pan
, Shenglin Zheng
, Yuan Yan Tang

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

Research on the interference within the face aiming at face complexity when locating the face, this paper advances a new algorithm of multiple-step hiding genetic algorithm to locate the face. This algorithm searches for intermediate locating parameters through genetic algorithm and parameterized deformable ellipse template, locates a hiding region based on the parameter and hides this region. On the basis of the hided image, searching for the next hiding region until finding the optimal region, and locate the contour ultimately based on the processing region. This algorithm can solve the interference within the face effectively when searching the face edge adopting genetic algorithm. Experimental results show that this method can obtain a satisfied result in the interference killing feature and stability.

Original language	English
Title of host publication	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Publisher	IEEE
Pages	3566-3570
Number of pages	5
ISBN (Electronic)	9781424409914
ISBN (Print)	1424409918, 9781424409907
DOIs	https://doi.org/10.1109/ICSMC.2007.4413906
Publication status	Published - 7 Oct 2007
Event	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada Duration: 7 Oct 2007 → 10 Oct 2007

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Publisher	IEEE
ISSN (Print)	1062-922X

Conference

Conference	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/Territory	Canada
City	Montreal, QC
Period	7/10/07 → 10/10/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ICSMC.2007.4413906

Cite this

@inproceedings{8794aa447788457cbf4678c8c39aa7e8,

title = "Face contour location based on multiple-step hiding genetic algorithm",

abstract = "Research on the interference within the face aiming at face complexity when locating the face, this paper advances a new algorithm of multiple-step hiding genetic algorithm to locate the face. This algorithm searches for intermediate locating parameters through genetic algorithm and parameterized deformable ellipse template, locates a hiding region based on the parameter and hides this region. On the basis of the hided image, searching for the next hiding region until finding the optimal region, and locate the contour ultimately based on the processing region. This algorithm can solve the interference within the face effectively when searching the face edge adopting genetic algorithm. Experimental results show that this method can obtain a satisfied result in the interference killing feature and stability.",

author = "Lanyan Xue and Jianjia Pan and Baochang Pan and Shenglin Zheng and Tang, \{Yuan Yan\}",

note = "Publisher copyright: {\textcopyright} 2007 IEEE; 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 ; Conference date: 07-10-2007 Through 10-10-2007",

year = "2007",

month = oct,

day = "7",

doi = "10.1109/ICSMC.2007.4413906",

language = "English",

isbn = "1424409918",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "IEEE",

pages = "3566--3570",

booktitle = "2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007",

address = "United States",

}

Xue, L, Pan, J, Pan, B, Zheng, S & Tang, YY 2007, Face contour location based on multiple-step hiding genetic algorithm. in 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE, pp. 3566-3570, 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, Montreal, QC, Canada, 7/10/07. https://doi.org/10.1109/ICSMC.2007.4413906

Face contour location based on multiple-step hiding genetic algorithm. / Xue, Lanyan; Pan, Jianjia; Pan, Baochang et al.
2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007. IEEE, 2007. p. 3566-3570 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Face contour location based on multiple-step hiding genetic algorithm

AU - Xue, Lanyan

AU - Pan, Jianjia

AU - Pan, Baochang

AU - Zheng, Shenglin

AU - Tang, Yuan Yan

PY - 2007/10/7

Y1 - 2007/10/7

N2 - Research on the interference within the face aiming at face complexity when locating the face, this paper advances a new algorithm of multiple-step hiding genetic algorithm to locate the face. This algorithm searches for intermediate locating parameters through genetic algorithm and parameterized deformable ellipse template, locates a hiding region based on the parameter and hides this region. On the basis of the hided image, searching for the next hiding region until finding the optimal region, and locate the contour ultimately based on the processing region. This algorithm can solve the interference within the face effectively when searching the face edge adopting genetic algorithm. Experimental results show that this method can obtain a satisfied result in the interference killing feature and stability.

AB - Research on the interference within the face aiming at face complexity when locating the face, this paper advances a new algorithm of multiple-step hiding genetic algorithm to locate the face. This algorithm searches for intermediate locating parameters through genetic algorithm and parameterized deformable ellipse template, locates a hiding region based on the parameter and hides this region. On the basis of the hided image, searching for the next hiding region until finding the optimal region, and locate the contour ultimately based on the processing region. This algorithm can solve the interference within the face effectively when searching the face edge adopting genetic algorithm. Experimental results show that this method can obtain a satisfied result in the interference killing feature and stability.

UR - https://www.scopus.com/pages/publications/40949115828

U2 - 10.1109/ICSMC.2007.4413906

DO - 10.1109/ICSMC.2007.4413906

M3 - Conference proceeding

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SN - 1424409918

SN - 9781424409907

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 3566

EP - 3570

BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007

PB - IEEE

T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007

Y2 - 7 October 2007 through 10 October 2007

ER -

Face contour location based on multiple-step hiding genetic algorithm

Abstract

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UN SDGs

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