Kusnadi, Adhi and Wella, Wella and Winantyo, Rangga and Pane, Ivransa Zuhdi (2020) PCA effect on the 3D face recognition system speed. In: International Conference of The 2nd International Conference on Industrial and System Engineering (IConISE), 22th-23th July 2020, Surabaya.
Full text not available from this repository.Abstract
In this paper, a system of three-dimensional (3D) face recognition is not done through 3D face reconstruction method but directly uses the data retrieved from Kinect Xbox camera system. From a previous study, there exists a possibility to increase the speed and accuracy of the system. In order to accelerate the recognition speed, a single step in the said study is eliminated, which is the reconstruction of 3D face data. The algorithms used in this research are Backpropagation Neural Network and PCA. Testing is done in two ways. The first test uses a combination of Backpropagation and PCA, while the second test uses Backpropagation only. PCA has the function of simplifying the amount of data, thereby reducing the amount of computing that can increase speed system. The results show that the system that uses a combination of Backpropagation and PCA achieved an increase in speed up to 34.2 times, but a reduced accuracy of 8.5%.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 11 Oct 2021 09:11 |
| Last Modified: | 11 Oct 2021 12:00 |
| URI: | https://kc.umn.ac.id/id/eprint/18631 |
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