Hamimah, Ujir and Lai, Chung Sing and Irwandi, Hipiny (2015) A Modular Approach and Voting Scheme on 3D Face Recognition. In: 2014 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), December 1-4, 2014, Kuching.
![[img]](http://ir.unimas.my/style/images/fileicons/text.png) |
PDF
A Modular Approach and Voting Scheme.pdf Download (652kB) |
Abstract
In this paper, we carried out a modular approach human 3D face recognition across neutral and six basic facial expressions experiments. Initially, a face model is decomposed into several modules before the 3D facial points for each of the modules are extracted. Three sizes of modules are used in our experiments: 2-Module, 6-Module and 10-Module. We apply Support Vector Machines as the classifier to each of the modules. A Majority Voting Scheme (MVS) and Weighted Voting Scheme (WVS) are constructed to infer the emotion underlying a collection of modules. From the analysis, we conclude that 10-Module outperforms 2-Module and 6-Module. In addition, the modules with low amount feature vectors and only contain boundary feature vectors perform worst.
| Item Type: | Proceeding (Paper) |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | 3D face recognition, modular approach, Support Vector Machine (SVM), Majority Voting Scheme (MVS) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| 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: | Mohamad Hipiny |
| Date Deposited: | 15 Sep 2022 01:05 |
| Last Modified: | 15 Sep 2022 01:05 |
| URI: | http://ir.unimas.my/id/eprint/39748 |
Actions (For repository members only: login required)
 |
View Item |
