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Trianglebased approach to the detection of human face
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2 principal parts of the proposed system. Potential face ... 3 different blocks to form an isosceles triangle (frontal view) or a right triangle (side view) ... – PowerPoint PPT presentation
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Title: Trianglebased approach to the detection of human face
1
Triangle-based approach to the detection of human
face
- SourcePattern Recognition, Vol. 34,
- Issue 6, June 2001, pp. 1271-1284
- AuthorsChiun-Hsiun Lin, Kuo-Chin Fan
- SpeakerWen-Chuan, Wu
- Date2002/03/28
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Outline
- Introduction
- Proposed system
- Potential face regions
- Face verification
- Experimental
- Conclusions
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Introduction
- 2 principal parts of the proposed system
- Potential face regions
- Face verification
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Frontal view
(b)
(a)
(c)
(d)
(e)
(f)
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Side view
(b)
(a)
(c)
(d)
(e)
(f)
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Proposed system
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Potential face regions
Pixel ?Tblack,values 1 Pixel gt Twhite,values 0
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Potential face regions
For example
The center point of Block1
The center point of Block2
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Potential face regions
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Potential face regions
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Face verification
Mask is formed by 10 binary training faces. For
example
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Face verification
For all pixels
?The threshold of frontal view is 40005500
?The threshold of side view is 23002600
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Experimental
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Experimental (error detected)
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Conclusions
- Detect multiple faces in complex backgrounds
- Handle different sizes,different lighting
conditions, varying pose and expression, and
noise and defocus problems. - Partial shelter and side view.
- The success rate is approximately 98
