Course detail

Advanced Methods of 3D Scene Visualisation

FIT-MMDAcad. year: 2020/2021

3D scene rendering, methods of realistic and non-realistic rendering suitable for vizualiaztion. processing and postprocessing of rendering methods output. Application interfaces.

Doctoral state exam - topics:

  1. Rasterization methods used in vizualization, computer graphics techniques for vizualization
  2. Vizualization methods for scientific data and measurement results
  3. Vizualiazation of vector fields and similar types of (non-scalar) data
  4. Non-realistic rendering - artificial colour, nonrealistic shading
  5. Visualiztion of special data from the field of information technologies

Language of instruction

Czech

Mode of study

Not applicable.

Learning outcomes of the course unit

The students will get acquainted with modern methods of 3D graphics rendering for analysis of graphics and visualization tasks. They will also get acquainted with methods for efficient scene rendering and learn to independently evaluate sources of information on WWW and in literature from the computer graphics field. Students will also get acquainted with methods used for technical applications and data processing.
Excercising of the ability to independently solve problems in the field of visualization and grphics, ability to process literature sources.

Prerequisites

Basic computer graphics course, eventually other comparable course depending on the studied bachelor or master field of study.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  • Individual seminar

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To get acquainted with modern methods of visualization tasks. To get acquainted with methods for efficient scene rendering. To learn to independently evaluate sources of information on WWW and in literature from the vizualization and graphics field. To get acquainted with methods used for technical applications and data processing.

Specification of controlled education, way of implementation and compensation for absences

During the course, it is necessary to submit the project and pass the exam. Teaching is performed as lectures and controlled seminars, the missed classes need to be replaced by self-study.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Foley, J., van Dam, A., Feiner, S., Hughes, J.: Computer Graphics - Principles and Practice. 3rd ed. Addison - Wesley, Massachusetts, 2013, ISBN 0321399528
Further "ad-hoc up to date literature (papers)
Further"ad-hoc literature (papers) recommended in the course
Hearn, D., Baker, M. P., et. al. Computer Graphics with OpenGL, Prentice Hall, USA, 2010, ISBN 0136053580
N. M. Thalmann; D. Thalmann : Editorial issue 31.3; Computer Animation And Virtual Worlds. 2020, ISSN 15464261
Pattanaik. S. N.: Computational Methods for Global Illumination and Visualization of Complex 3D Environments, Doctoral Thesis, Natinal Centre for Software Technology, Bombay, India, 1993
Watt. A., Watt, M.: Advanced Animation and Rendering Techniques, Theory and Practise, Addison-Wesley, USA, 1992

Classification of course in study plans

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Syllabus

In the first part of semester, teaching is through standard "lectures of teacher to students".

Breakdown of topics (example):

  1. Introduction to the course, brief evaluation and "mapping of knowledge", planning of the lecture topics
  2. Rasterization methods used in vizualization, computer graphics techniques for vizualization
  3. Vizualization methods for scientific data and measurement results
  4. Vizualiazation of vector fields and similar types of (non-scalar) data
  5. Non-realistic rendering - artificial colour, nonrealistic shading
  6. Visualiztion of special data from the field of information technologies
  7. Conclusion of lectures, finalization of presentation topics

In the next part of semester, the course is conducted through a series of seminars where students present a presentation on topic of their choice that is followed by a discussion.

Guided consultation in combined form of studies

26 hod., optionally

Teacher / Lecturer