Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels

This paper is inspired from various boundary determination techniques which are used for segregating colours between background, skin and lips. Basic concept for this technique is based on colour segmentation with CIELAB colourspace utilized for justifiable reasons. Using LAB colour-space, lips col...

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Main Authors: Lee, Hao Wei, Seng, Kah Phooi *, Chia, Wai Chong *, Ang, Li-Minn
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.sunway.edu.my/157/1/Chia%20Wai%20Chong%20-%20Adaptive%20Circular%20Enclosure%20Colour%20Distribution%20Geometrical%20Model.pdf
http://eprints.sunway.edu.my/157/
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spelling my.sunway.eprints.1572019-04-25T05:50:06Z http://eprints.sunway.edu.my/157/ Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels Lee, Hao Wei Seng, Kah Phooi * Chia, Wai Chong * Ang, Li-Minn QA75 Electronic computers. Computer science QA76 Computer software This paper is inspired from various boundary determination techniques which are used for segregating colours between background, skin and lips. Basic concept for this technique is based on colour segmentation with CIELAB colourspace utilized for justifiable reasons. Using LAB colour-space, lips colours were compiled into a colour-map and processed accordingly to our proposed algorithm of adaptive circular enclosure. Algorithm output was determined as a series of coordinates symbolizing boundary values surrounding colourmap. Separation of colours is based on these boundaries by creating a freeform polygon that defines if colour-value either belongs within colour-boundary polygon or not. This technique is famously known as the point in-polygon technique. Proposed technique evaluation uses XM2VTS database based on false positive and false-negative to compute segmentation error. Simulation shows proposed algorithm yields segmented error of 5.55% with accuracy of 94.45%. 2012-12-22 Conference or Workshop Item PeerReviewed text en http://eprints.sunway.edu.my/157/1/Chia%20Wai%20Chong%20-%20Adaptive%20Circular%20Enclosure%20Colour%20Distribution%20Geometrical%20Model.pdf Lee, Hao Wei and Seng, Kah Phooi * and Chia, Wai Chong * and Ang, Li-Minn (2012) Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels. In: International Conference on Information and Multimedia Technology (4th), 21 - 22 Dec 2012, Seri Kembangan, Selangor, Malaysia. (Submitted)
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Lee, Hao Wei
Seng, Kah Phooi *
Chia, Wai Chong *
Ang, Li-Minn
Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
description This paper is inspired from various boundary determination techniques which are used for segregating colours between background, skin and lips. Basic concept for this technique is based on colour segmentation with CIELAB colourspace utilized for justifiable reasons. Using LAB colour-space, lips colours were compiled into a colour-map and processed accordingly to our proposed algorithm of adaptive circular enclosure. Algorithm output was determined as a series of coordinates symbolizing boundary values surrounding colourmap. Separation of colours is based on these boundaries by creating a freeform polygon that defines if colour-value either belongs within colour-boundary polygon or not. This technique is famously known as the point in-polygon technique. Proposed technique evaluation uses XM2VTS database based on false positive and false-negative to compute segmentation error. Simulation shows proposed algorithm yields segmented error of 5.55% with accuracy of 94.45%.
format Conference or Workshop Item
author Lee, Hao Wei
Seng, Kah Phooi *
Chia, Wai Chong *
Ang, Li-Minn
author_facet Lee, Hao Wei
Seng, Kah Phooi *
Chia, Wai Chong *
Ang, Li-Minn
author_sort Lee, Hao Wei
title Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
title_short Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
title_full Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
title_fullStr Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
title_full_unstemmed Adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
title_sort adaptive circular enclosure colour distribution geometrical model utilizing point-in-polygon for segregation between lips and skin pixels
publishDate 2012
url http://eprints.sunway.edu.my/157/1/Chia%20Wai%20Chong%20-%20Adaptive%20Circular%20Enclosure%20Colour%20Distribution%20Geometrical%20Model.pdf
http://eprints.sunway.edu.my/157/
_version_ 1644324257984937984
score 13.214268