Tomasi-Kanade Factorization: Structure from Motion
Faculty, Computer Science
20:01·2021·undergraduate level·Standalone Lecture
An incisive lecture from Columbia's First Principles of Computer Vision series, detailing the Tomasi-Kanade factorization method for recovering 3D structure from 2D image sequences.
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.
Referenced inHacker News
Seminar notes & discussion
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