Series
In this series, I will talk about computer vision, ranging from very fundamental topics to very advanced ones.
One of the interesting research projects I collaborated on with colleagues in China last year was using vision to predict the tendency of developing Alzheimer’s disease. We used images from diverse clinical datasets, which gave us a base and provided...
I know the hype is all around LLMs right now, but deep learning for computer vision continues to drive advancements in AI too – from your smartphone to applications at airports. Perhaps you would like to learn how to build yours. This past summer, I ...
From June 2023 to January 2024, our team at the Centre for Intelligent Autonomous Manufacturing Systems, Queen’s University Belfast, conducted an extensive data collection project aimed at advancing human intention inference. Our goal was to validate...
If you would like to dive right into the code please see here In the ever-evolving landscape of computer vision, the transition from static imagery to the dynamic world of videos marks a significant leap to understanding the dynamicity of our world. ...
Introduction In Part 1 of this series on camera calibration, we laid the groundwork by exploring the fundamental principles that govern how cameras translate the 3D world into a 2D image. We delved into camera models and the intrinsic and extrinsic p...
