Computer Vision This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, multi view geometry including stereo, motion estimation and tracking, and classification. We’ll develop basic methods for applications that include finding known models in images, depth recovery from stereo, camera calibration, image stabilization, automated alignment (e.g. panoramas), tracking, and action recognition. What you’ll learn Become an advanced, confident, and modern Computer Vision expert from scratch How to think and work like a developer: problem-solving, researching, workflows Digital image processing: gray level transformations, geometric transformations, convolution, image enhancement and smoothing,
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