First Principles of Computer Vision
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
Channel Statistics
Links & Social
Content Style
30-Day Growth
Featured Video
First Principles of Computer Vision (@firstprinciplesofcomputerv3258) is a cs fundamentals YouTube channel with 90.9K subscribers. With 151 videos and 7.4M total views, the channel averages 17.3K views per video. First Principles of Computer Vision has an engagement rate of 2.01%, placing it in the top 70% of cs fundamentals educators on the platform. The channel uploads on a weekly basis, making it a inactive creator in the developer education space.
