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.
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Automatic Landmarking on 2.5D Face Range Images (abstract).pdf Download (72kB) | Preview |
Abstract
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.
| Item Type: | Proceeding (Paper) |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Face, Intelligent systems, Smoothing methods, Automatic Landmarking, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 13 Jan 2016 01:24 |
| Last Modified: | 15 Sep 2022 02:08 |
| URI: | http://ir.unimas.my/id/eprint/10166 |
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