Course description

This course focuses on image processing and computer vision focuses on studying methods that allow a machine to learn and analyze images and video using geometry and statistical learning. The recent growth of digital imaging technologies, hardware advances, and machine learning models has led to many exciting recent developments in the field of image and video analytics. This course covers a range of topics, starting from the basics of image formation and processing to recent deep learning methods addressing high-level visual recognition problems, such as image segmentation and object detection. In addition, multiple-view geometry and applications of deep learning in computer vision for autonomous vehicles are covered.

Instructor

  • Artificial Intelligence Research Scientist, Massachusetts Institute of Technology Lincoln Laboratory
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