Course: Computer Graphics

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Course title Computer Graphics
Course code KI/EPGR
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Kuba Pavel, Ing. Ph.D.
Course content
1. Signal processing, antialiasing. Light and color models (RGB, CMYK, HSV, YCC). 2. Data compression. Types and compression algorithms. 3. Digital photography and image processing. Bitmap graphics. Formats. Video and audio recording and processing. File formats. 4. Drawing 2D elements; Bresenham algorithm. Area filling (scan-line fill algorithm, seed fill algorithm); clipping 5. Image editing; color space reduction, histogram 6. Noise reduction, sharpening, edge detection 7. Coordinate systems; geometric transformation, projections methods 8. Boundary, volumetric and procedural representation, solid modeling 9. Light and local illumination models 10. Shading methods (flat, Gouraud, Phong) 11. Problem of visibility, shadows (projection methods, shadow volume, depth buffering) 12. Textures 13. Radiance, rendering equation, radiosity 14. Global illumination models; ray tracing, photon maps

Learning activities and teaching methods
unspecified
Learning outcomes
The aim of the course is to expand students' knowledge in the field of multimedia, their recording, playback and transmission. Students will acquire basic knowledge about the theory and algorithms of 2D and 3D computer graphics. The students are introduced to the following topics: drawing 2D elements, image processing, modeling the 3D objects and rendering the scene. Exercises are used to validate the discussed algorithms in the programming.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester