Investigating the PCA Effect on the 3D Face Recognition System Speed | Chapter 7 | Technological Innovation in Engineering Research Vol. 5

In this study, we discuss leveraging 3-dimensional data to accelerate facial recognition. Compared to using 2-dimensional data, the usage of this data makes facial recognition safer since it is more challenging to replicate. Photos can be used to collect 2-dimensional data, but 3-dimensional data cannot be produced because it needs a third dimension—facial depth information—which can only be gathered from 3-dimensional objects. In contrast to most other research investigations, the three-dimensional (3D) face recognition procedure employed in this study utilised data immediately obtained from the Kinect Xbox camera system rather than going through the steps of the facial reconstruction process into 3D form. so that it can speed things up without lowering accuracy expectations. The backpropagation algorithm is directly fed data from the camera. This research just serves to demonstrate that the approach employed can speed up face recognition, hence this algorithm was chosen since it is easier to understand than CNN or other algorithms. The PCA approach is further employed in place of the reconstruction stage. With its ability to reduce the amount of computation required, PCA may speed up systems by simplifying the quantity of data. Two methods of testing are used. Backpropagation and PCA are both used in the first test, however Backpropagation is the sole method used in the second test. The method combining Backpropagation and PCA in conjunction increased speed by up to 34.2 times, but accuracy decreased by 8.5 percent, according to the results. In order to respond to the findings of this study, more research is required.

Author (s) Details:

Adhi Kusnadi,
Departemen of Informatic, Universitas Multimedia Nusantara, Tangerang, Indonesia.

. Wella,
Departemen of Informatic, Universitas Multimedia Nusantara, Tangerang, Indonesia.

Rangga Winantyo,
Departemen of Informatic, Universitas Multimedia Nusantara, Tangerang, Indonesia.

I. Z. Pane,
Departemen of Informatic, Universitas Multimedia Nusantara, Tangerang, Indonesia.

Please see the link here: https://stm.bookpi.org/TIER-V5/article/view/7466