Development of 3D face Recognition System using Matlab

Several machine learning algorithms for image processing and computer vision applications have been proposed over the past decade. LBP, HAAR are some of the popular algorithms which are widely used for face recognition and yield excellent results. But, most of these algorithms are not suitable for real time recognition in unconstrained environment. Recently, state-of-the-art deep learning techniques have become new favorite over traditional machine learning algorithm. Face recognition application works with images which are nothing but combination of pixel values in range (0–255). Algorithm finds a discriminating pattern in those gray values and consider it as a feature which is considered to be unique for each image. However, in 3D images, no pixel information is present, but only position (x, y, z) of each point is available. This makes it difficult to find pattern in 3D images.

Recently, I started working on FRGC2.0 3D face dataset and initially, I was not able to find enough resources to process 3D images. Finally, after some time, i came across a paper based on 3D face recognition , by Ajmal Mian whom I would like to thank for helpful suggestions and references. I also would like to mention my colleague Jayeeta Chakraborty who equally contributed to develop this project. Source code is availabe at my GitHub repository.

For more deatil and explanantion please visit link : https://towardsdatascience.com/development-of-3d-face-recognition-using-matlab-a54ccc0b7cdd