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AUTOMATIC EXTRACTION OF LIP BASED ON LIP MAP.

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Title: AUTOMATIC EXTRACTION OF LIP BASED ON LIP MAP.
Authors: GUAN, YE-PENG1,2 ypguan@shu.edu.cn
Source: International Journal of Information Acquisition. Mar2008, Vol. 5 Issue 1, p31-40. 10p. 7 Color Photographs, 1 Black and White Photograph, 2 Charts, 5 Graphs.
Subjects: MAP (Computer program language), Algorithms, Artificial intelligence, Pattern recognition systems, Computer vision
Abstract: The effective automatic location and tracking of a person's lip has been proven to be very difficult in the field of computer vision. A lip segmentation approach is proposed based on wavelet multi-scale edge detection across a lip map. The developed algorithm exploits the spatial interactions between neighboring pixels through wavelet multi-scale edge detection across the lip map. The algorithm produces better segmentation automatically without the need to determine an optimum threshold for each lip image. It has indicated the developed algorithm with superior performance by comparing with some existing lip segmentation algorithms. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Information Acquisition is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: AUTOMATIC EXTRACTION OF LIP BASED ON LIP MAP.
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  Data: <searchLink fieldCode="AR" term="%22GUAN%2C+YE-PENG%22">GUAN, YE-PENG</searchLink><relatesTo>1,2</relatesTo><i> ypguan@shu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Information+Acquisition%22">International Journal of Information Acquisition</searchLink>. Mar2008, Vol. 5 Issue 1, p31-40. 10p. 7 Color Photographs, 1 Black and White Photograph, 2 Charts, 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22MAP+%28Computer+program+language%29%22">MAP (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The effective automatic location and tracking of a person's lip has been proven to be very difficult in the field of computer vision. A lip segmentation approach is proposed based on wavelet multi-scale edge detection across a lip map. The developed algorithm exploits the spatial interactions between neighboring pixels through wavelet multi-scale edge detection across the lip map. The algorithm produces better segmentation automatically without the need to determine an optimum threshold for each lip image. It has indicated the developed algorithm with superior performance by comparing with some existing lip segmentation algorithms. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Information Acquisition is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1142/S0219878908001478
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 31
    Subjects:
      – SubjectFull: MAP (Computer program language)
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
      – SubjectFull: Computer vision
        Type: general
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      – TitleFull: AUTOMATIC EXTRACTION OF LIP BASED ON LIP MAP.
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            – D: 01
              M: 03
              Text: Mar2008
              Type: published
              Y: 2008
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            – TitleFull: International Journal of Information Acquisition
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