The advancement of deep learning and generative models has led to the creation of highly realistic artificial images, including human faces. However, this progress has also raised concerns about ...

Deep learning algorithm Convolutional neural networks with opencv has been used to design face recognition system. Working: The real-time input image captured from camera is first fed to Viola Jones ...

In this paper, a feasible face recognition algorithm based on CNN method and TensorFlow deep learning framework is proposed for face multi-pose and occlusion recognition problems. Firstly, a face ...

Dataset download: For this project we will be using the UMD face dataset which can be downloaded from: UMD Dataset Go ahead and download the Batch 3 dataset, which will have faces of personalities and ...

Gurovich and his team trained DeepGestalt, a deep learning algorithm, by using 17,000 facial images of patients from a database of patients diagnosed with over 200 distinct genetic syndromes.. The ...

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.