Displaying 263 resources



Image Acquisition
This lecture overviews that has many applications in computer vision, digital imaging, social media and media production.
An Introduction to PAC-Bayesian Analysis
This resource corresponds to 9th video from the AI Excellence Lecture Series.
PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p



Camera Geometry
After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling.



Toward efficient and safe intelligent aerial robotics and aerial manipulation
This resource corresponds to 8th video from the AI Excellence Lecture Series.
Delve into the cutting-edge world of intelligent aerial robotics.



Structure from Motion
Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles will be overviewed. The following topics will be covered: Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion.



The Machine Learning of Time: Past and Future
This resource corresponds to the 2nd video from the AI Excellence Lecture Series.
Explore the evolution of machine learning in understanding and harnessing the concept of time.