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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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 |
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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 |
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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 |
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2005 |
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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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