Automatic Landmarking on 2.5D Face Range Images

In this paper, we develop an automatic land marking method on face data using 2.5-dimensional (2.5D) range images. Automatic facial land marking is a vital process that could be employed to any face application for analysis, registration and recognition. The research aims to locate facial feature po...

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Main Authors: Pui, Suk Ting, Jacey-Lynn, Minoi
Format: Proceeding
Language:English
Published: 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/10166/
http://ir.unimas.my/id/eprint/10166/1/Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf
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author Pui, Suk Ting
Jacey-Lynn, Minoi
author_facet Pui, Suk Ting
Jacey-Lynn, Minoi
author_sort Pui, Suk Ting
building UNIMAS Institutional Repository
collection Online Access
description In this paper, we develop an automatic land marking method on face data using 2.5-dimensional (2.5D) range images. Automatic facial land marking is a vital process that could be employed to any face application for analysis, registration and recognition. The research aims to locate facial feature points (the eye corners, the nose tip, the mouth corners, chin etc.) automatically without the intervention of human. Automatic land marking has a number of added advantages over manual land marking, especially if the dataset is large, hence the landmark selection could be more accurate and less time consuming. We also developed an interface to ease the visualization of the land marking process. It has interactive tools which allow the manipulation of threshold values. The threshold values are then analyzed and generalized to best detect and extract important key points or/and regions of facial features. The results of the automatic extracted facial features and candidate landmarks are shown in this paper.
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publishDate 2015
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spelling unimas-101662022-09-15T02:08:55Z http://ir.unimas.my/id/eprint/10166/ Automatic Landmarking on 2.5D Face Range Images Pui, Suk Ting Jacey-Lynn, Minoi T Technology (General) In this paper, we develop an automatic land marking method on face data using 2.5-dimensional (2.5D) range images. Automatic facial land marking is a vital process that could be employed to any face application for analysis, registration and recognition. The research aims to locate facial feature points (the eye corners, the nose tip, the mouth corners, chin etc.) automatically without the intervention of human. Automatic land marking has a number of added advantages over manual land marking, especially if the dataset is large, hence the landmark selection could be more accurate and less time consuming. We also developed an interface to ease the visualization of the land marking process. It has interactive tools which allow the manipulation of threshold values. The threshold values are then analyzed and generalized to best detect and extract important key points or/and regions of facial features. The results of the automatic extracted facial features and candidate landmarks are shown in this paper. 2015 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/10166/1/Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf Pui, Suk Ting and Jacey-Lynn, Minoi (2015) Automatic Landmarking on 2.5D Face Range Images. In: 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), 2014, 261 - 265, Langkawi. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7280918
spellingShingle T Technology (General)
Pui, Suk Ting
Jacey-Lynn, Minoi
Automatic Landmarking on 2.5D Face Range Images
title Automatic Landmarking on 2.5D Face Range Images
title_full Automatic Landmarking on 2.5D Face Range Images
title_fullStr Automatic Landmarking on 2.5D Face Range Images
title_full_unstemmed Automatic Landmarking on 2.5D Face Range Images
title_short Automatic Landmarking on 2.5D Face Range Images
title_sort automatic landmarking on 2.5d face range images
topic T Technology (General)
url http://ir.unimas.my/id/eprint/10166/
http://ir.unimas.my/id/eprint/10166/
http://ir.unimas.my/id/eprint/10166/1/Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf