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Learning for 3D Vision
The course focuses on the geometric aspects of computer vision: The geometry of image formation and its use for 3D reconstruction and calibration. The objective of the course is to introduce the formal tools and results that are necessary for developing multi-view reconstruction algorithms. The fundamental tools introduced study affine and projective geometry, which are essential to the development of image formation models. These tools are then used to develop formal models of geometric image formation for
The course will be lecture-based, and the grades will be determined by assignments (40%), problem sets (15%), a final project (40%) and class participation (5%). The course will require as background good coding skills, and an understanding of basics in Computer Vision (e.g. image formation, ray optics) and Linear Algebra (e.g. Vector Spaces, Matrix Factorization). Course Staff Please use the course Piazza page for all communication with course staff
Shubham Tulsiani - Home
Learning for 3D Vision