An energy minimization process for extracting eye feature based on deformable template

Huachun Tan; Yu Jin Zhang

doi:10.1007/11612704_66

An energy minimization process for extracting eye feature based on deformable template

Huachun Tan^*, Yu Jin Zhang

^*Corresponding author for this work

Tsinghua University

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Eye feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it usually suffers from the problem of local minima. To avoid local minima, in this paper, a new energy minimization process is proposed, which emphasizes on local properties of energy terms. The minimization process is divided into three steps. The iris is located firstly. Then the eye boundaries are adjusted. Finally, all energy terms are activated to tune the eye template. Each step needs not to be split to some sub-steps. Empirical comparison with other minimization processes shows the superiority of the proposed process in terms of both efficiency and accuracy.

Original language	English
Pages (from-to)	663-672
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3852 LNCS
DOIs	https://doi.org/10.1007/11612704_66
Publication status	Published - 2006
Externally published	Yes
Event	7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India Duration: 13 Jan 2006 → 16 Jan 2006

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10.1007/11612704_66

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title = "An energy minimization process for extracting eye feature based on deformable template",

abstract = "Eye feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it usually suffers from the problem of local minima. To avoid local minima, in this paper, a new energy minimization process is proposed, which emphasizes on local properties of energy terms. The minimization process is divided into three steps. The iris is located firstly. Then the eye boundaries are adjusted. Finally, all energy terms are activated to tune the eye template. Each step needs not to be split to some sub-steps. Empirical comparison with other minimization processes shows the superiority of the proposed process in terms of both efficiency and accuracy.",

author = "Huachun Tan and Zhang, {Yu Jin}",

year = "2006",

doi = "10.1007/11612704_66",

language = "English",

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

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T1 - An energy minimization process for extracting eye feature based on deformable template

AU - Tan, Huachun

AU - Zhang, Yu Jin

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N2 - Eye feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it usually suffers from the problem of local minima. To avoid local minima, in this paper, a new energy minimization process is proposed, which emphasizes on local properties of energy terms. The minimization process is divided into three steps. The iris is located firstly. Then the eye boundaries are adjusted. Finally, all energy terms are activated to tune the eye template. Each step needs not to be split to some sub-steps. Empirical comparison with other minimization processes shows the superiority of the proposed process in terms of both efficiency and accuracy.

AB - Eye feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it usually suffers from the problem of local minima. To avoid local minima, in this paper, a new energy minimization process is proposed, which emphasizes on local properties of energy terms. The minimization process is divided into three steps. The iris is located firstly. Then the eye boundaries are adjusted. Finally, all energy terms are activated to tune the eye template. Each step needs not to be split to some sub-steps. Empirical comparison with other minimization processes shows the superiority of the proposed process in terms of both efficiency and accuracy.

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U2 - 10.1007/11612704_66

DO - 10.1007/11612704_66

M3 - Conference article

AN - SCOPUS:33744932678

SN - 0302-9743

VL - 3852 LNCS

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EP - 672

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

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

T2 - 7th Asian Conference on Computer Vision, ACCV 2006

Y2 - 13 January 2006 through 16 January 2006

ER -

An energy minimization process for extracting eye feature based on deformable template

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