Algebraic Computer Vision

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

Requirements:

Syllabus of lectures:

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Study Objective:

To learn how to formulate and solve practical engineering problems in computer vision geometry using

methods of algebraic computational geometry. These problems form the basis of navigation technology for robots,

autonomous vehicles, vacuum cleaners, drones, airplanes, rockets, space probes, 3D mapping, virtual and augmented

reality, and visual effects in the film industry. The course is aimed at students who enjoy discovering new things,

conducting research for a masters thesis, and continuing on to doctoral studies or industrial research.

Study materials:

Doporučená literatura:

1. T. Pajdla. Elements of Geometry for Computer Vision. 2000-2026.

2. D. Cox, J. Little, D. OShea. Ideals, Varieties and Algorithms. 2015.

3. A. J. Somesse, C. W. Wampler. The Numerical Solution of Systems of Polynomials. 2005

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: