Orientation analysis for rotated human face detection

Jie Zhou; Xiao Guang Lu; Dapeng Zhang; Chen Yu Wu

doi:10.1016/S0262-8856(02)00018-5

Orientation analysis for rotated human face detection

Jie Zhou, Xiao Guang Lu, Dapeng Zhang, Chen Yu Wu

Research output: Journal article publication › Journal article › Academic research › peer-review

20 Citations (Scopus)

Abstract

In this paper, we present a framework of orientation analysis for rotated human face detection. A novel orientation histogram is constructed for statistical analysis of face images, which can show a proper symmetry with respect to the orientation of the principal axis and a local peak at its orthogonal orientation. By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face. Then an upright frontal face detector based on orientation analysis and other knowledge is designed to verify the given face. The experimental results illustrate the effectiveness of our framework.

Original language	English
Pages (from-to)	257-264
Number of pages	8
Journal	Image and Vision Computing
Volume	20
Issue number	4
DOIs	https://doi.org/10.1016/S0262-8856(02)00018-5
Publication status	Published - 1 Apr 2002

Keywords

Human face detection
Orientation analysis
Orientation histogram
Pattern recognition

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition

More information

10.1016/S0262-8856(02)00018-5

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title = "Orientation analysis for rotated human face detection",

abstract = "In this paper, we present a framework of orientation analysis for rotated human face detection. A novel orientation histogram is constructed for statistical analysis of face images, which can show a proper symmetry with respect to the orientation of the principal axis and a local peak at its orthogonal orientation. By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face. Then an upright frontal face detector based on orientation analysis and other knowledge is designed to verify the given face. The experimental results illustrate the effectiveness of our framework.",

keywords = "Human face detection, Orientation analysis, Orientation histogram, Pattern recognition",

author = "Jie Zhou and Lu, {Xiao Guang} and Dapeng Zhang and Wu, {Chen Yu}",

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AU - Zhou, Jie

AU - Lu, Xiao Guang

AU - Zhang, Dapeng

AU - Wu, Chen Yu

PY - 2002/4/1

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N2 - In this paper, we present a framework of orientation analysis for rotated human face detection. A novel orientation histogram is constructed for statistical analysis of face images, which can show a proper symmetry with respect to the orientation of the principal axis and a local peak at its orthogonal orientation. By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face. Then an upright frontal face detector based on orientation analysis and other knowledge is designed to verify the given face. The experimental results illustrate the effectiveness of our framework.

AB - In this paper, we present a framework of orientation analysis for rotated human face detection. A novel orientation histogram is constructed for statistical analysis of face images, which can show a proper symmetry with respect to the orientation of the principal axis and a local peak at its orthogonal orientation. By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face. Then an upright frontal face detector based on orientation analysis and other knowledge is designed to verify the given face. The experimental results illustrate the effectiveness of our framework.

KW - Human face detection

KW - Orientation analysis

KW - Orientation histogram

KW - Pattern recognition

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U2 - 10.1016/S0262-8856(02)00018-5

DO - 10.1016/S0262-8856(02)00018-5

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VL - 20

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EP - 264

JO - Image and Vision Computing

JF - Image and Vision Computing

IS - 4

ER -

Orientation analysis for rotated human face detection

Abstract

Keywords

ASJC Scopus subject areas

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