Statistical shape analysis for computer aided facial deformity detection

This paper describes craniofacial medical application, with the emphasis on the comparison of normal and abnormal facial data by using statistical shape analysis method to classify the data sets. The data consists of 3D laser scans of mannequin faces. The normal facial dataset is based on the manneq...

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Main Authors: Md. Hussin, Mohd. Bakery, Setan, Halim, Majid, Zulkepli, Suwardhi, Deni
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1317/1/Paper049bakery.pdf
http://eprints.utm.my/id/eprint/1317/
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spelling my.utm.13172017-08-28T04:12:20Z http://eprints.utm.my/id/eprint/1317/ Statistical shape analysis for computer aided facial deformity detection Md. Hussin, Mohd. Bakery Setan, Halim Majid, Zulkepli Suwardhi, Deni TA Engineering (General). Civil engineering (General) This paper describes craniofacial medical application, with the emphasis on the comparison of normal and abnormal facial data by using statistical shape analysis method to classify the data sets. The data consists of 3D laser scans of mannequin faces. The normal facial dataset is based on the mannequin. The distance between two landmarks and angle between three landmarks are used as the reference to determine whether the facial datasets are normal or abnormal with respect to the normal facial dataset. The statistical shape analysis is a useful tool for facial analysis after the treatment of facial deformity. 2005-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1317/1/Paper049bakery.pdf Md. Hussin, Mohd. Bakery and Setan, Halim and Majid, Zulkepli and Suwardhi, Deni (2005) Statistical shape analysis for computer aided facial deformity detection. In: International Symposium & Exhibition on Geoinformation 2005 Geospatial Solutions for Managing the Borderless World,, 27 - 29 September 2005, Pulau Pinang. http://www.civil.eng.usm.my/isg2005/home.shtml
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Md. Hussin, Mohd. Bakery
Setan, Halim
Majid, Zulkepli
Suwardhi, Deni
Statistical shape analysis for computer aided facial deformity detection
description This paper describes craniofacial medical application, with the emphasis on the comparison of normal and abnormal facial data by using statistical shape analysis method to classify the data sets. The data consists of 3D laser scans of mannequin faces. The normal facial dataset is based on the mannequin. The distance between two landmarks and angle between three landmarks are used as the reference to determine whether the facial datasets are normal or abnormal with respect to the normal facial dataset. The statistical shape analysis is a useful tool for facial analysis after the treatment of facial deformity.
format Conference or Workshop Item
author Md. Hussin, Mohd. Bakery
Setan, Halim
Majid, Zulkepli
Suwardhi, Deni
author_facet Md. Hussin, Mohd. Bakery
Setan, Halim
Majid, Zulkepli
Suwardhi, Deni
author_sort Md. Hussin, Mohd. Bakery
title Statistical shape analysis for computer aided facial deformity detection
title_short Statistical shape analysis for computer aided facial deformity detection
title_full Statistical shape analysis for computer aided facial deformity detection
title_fullStr Statistical shape analysis for computer aided facial deformity detection
title_full_unstemmed Statistical shape analysis for computer aided facial deformity detection
title_sort statistical shape analysis for computer aided facial deformity detection
publishDate 2005
url http://eprints.utm.my/id/eprint/1317/1/Paper049bakery.pdf
http://eprints.utm.my/id/eprint/1317/
http://www.civil.eng.usm.my/isg2005/home.shtml
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score 13.211869