Real-time face tracking has evolved from a research novelty into a practical tool for interactive robotics, surveillance, and automation. Advances in ...

Abstract: Attendance is taken as a important aspect in learning process but manual methods are slow. This paper describes the design, implementation, and assessment of an edge-based face recognition ...

Twenty years ago, technologies developed by Liang Jie at Microsoft were incorporated into products like the Windows Media Video Player and Blu-ray discs used by millions worldwide. A decade on, while ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

Computer vision artificial intelligence can improve patient care, but reaping its full benefits relies on careful training, data protection and validation by medical professionals. Computer vision is ...

Azure Computer Vision Research (ACVR) group is part of the Azure AI Cognitive Services Research (CSR) group, focusing on cutting edge research in computer vision to advance the state of the art and ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...