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This course provides an in-depth introduction to the core concepts of computer graphics, image processing, multimedia, and computer vision. The course forms a basis for the specialization track Visual Computing of the CS master program at ETH.
As a prerequisite to the specialization track Visual Computing, this course covers topics from computer graphics and computer vision. More information on related fields can be found on the respective group websites:
Course topics will include: Graphics pipeline, perception and color models, camera models, transformations and projection, projections, lighting, shading, global illumination, texturing, sampling theorem, Fourier transforms, image representations, convolution, linear filtering, diffusion, nonlinear filtering, edge detection, optical flow, image and video compression.
In theoretical and practical homework assignments students will learn to apply and implement the presented concepts and algorithms.
A scriptum will be handed out for the second part of the course. Copies of the slides will be available for download. We will also provide a detailed list of references and textbooks.
Markus Gross: Computer Graphics, scriptum, 1994-2005
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