Computer vision cambridge

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Computer vision is a rapidly developing and highly interdisciplinary field of computer science and engineering in which researchers are attempting to create vision algorithms that can analyze dynamic images at real-time rates.

Aims

The aims of this course are to introduce the principles, models and applications of computer vision, as well as some mechanisms used in biological visual systems that may inspire design of artificial ones.
The course will cover: image formation, structure, and coding; edge and feature detection; neural operators for image analysis; texture, colour,.

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Lectures

Goals of computer vision; why they are so difficult.Image formation, and the ill-posed problem of making 3D inferences about objects and their properties from images.

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Objectives

At the end of the course students should 1. understand visual processing from both “bottom-up” (data oriented) and “top-down” (goals oriented) perspectives; 2. be able to decompose visual tasks into sequences of image analysis operations, representations, specific algorithms, and inference principles; 3. understand the roles of image transformation.


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