A Modular Approach and Voting Scheme on 3D Face Recognition

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.

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Official URL: https://ieeexplore.ieee.org/document/7024451


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
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

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