Accordingly, this study focused on a face recognition process under the situation of vague facial features using deep reinforcement learning (DRL) approach with convolutional neuron networks (CNNs) ...

Abstract: Today, vast majority of the state-of-the art face detection methods involve scanning the input image using a sliding window and running a classifier on each of the windows. The biggest ...

it focuses on real-time emotion analysis in crowds using Convolutional Neural Networks (CNN) and OpenCV. Developed in Python, the system detects and analyzes facial emotions to provide valuable ...

A real-time face detection system using Python, OpenCV, and Haar cascades. The system utilizes the webcam to capture video frames, detect faces, and highlight the detected faces with bounding boxes.