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Thanks to Adrien Bartoli for providing DIKU-3DCV2.zip after the original link became dead: http://isit.u-clermont1.fr/~ab/Classes/DIKU-3DCV2 Course Description The course will cover essential aspects of geometry based Computer Vision. Among the topics are the use of projective and affine projections, homographies, epipolar geometry, the fundamental matrix, and 3D structure computation.  Methods for camera calibration will be touched. As the title of the textbook suggests the course will focus on geometry. Practical problems, such as robust estimation for data containing blunders, are covered too. Some direct applications of these techniques that will be taught are: How a 3D model is built from 2D images and how synthetic images showing a new views of the scene can be rendered. How an artificial object may be inserted in a movie sequence such that the mixed video looks correct. How to construct a panorama from multiple images.