This course is an introduction to computer vision and classification. We will cover the principles of image generation, camera imaging geometry, feature detection and matching, and multiview geometry, including stereo, motion estimation and tracking in this course. Additionally, we’ll develop the essential methods for computer vision applications, including action detection, tracking, depth recovery from stereo, camera calibration, image stabilisation, and automatic alignment (for example panoramas). 

The emphasis of this course is on developing mathematical intuitions for the procedures, and in the problem sets, we will learn about the differences between theoretical and practical concepts of computer vision.

So get yourself enrolled in this information-packed free course to ace your journey in computer vision so you can build state-of-the-art computer vision applications.