Abstract: While face recognition has progressed with better architectures, loss functions, and datasets, issues like label noise, privacy, and imbalance remain. Synthetic datasets address these ...

A real-time edge detection viewer that captures camera frames, processes them using OpenCV in C++, and displays the processed output using OpenGL ES. Includes a ...

Abstract: Face recognition is widely used in Internet of Thingss (IoTs) applications, such as time and attendance systems, security systems, etc. Due to the limited storage and computing power of IoT ...