t.BA.XX.VC1.15HS (Visual Computing 1) 
Module: Visual Computing 1
This information was generated on: 20 May 2024
No.
t.BA.XX.VC1.15HS
Title
Visual Computing 1
Organised by
T InIT
Credits
4

Description

Version: 5.0 start 01 August 2019

Module coordinator:

 Ackermann Philipp (acke)

Learning objectives:
Objectives Competences Taxonomy levels
You know the principles of image generation  (Computer Grafik), of image interpretation (Computer Vision), and their interrelations  M K2
You know the basic theories and methods of 2D and 3D graphics. M K2
You have the skills to apply graphics libraries to manage and visualize 2D and 3D geometry models. M, F K2, K3
You know the basic theories and methods of digital image processing (Computer Vision). M K2
You can combine Computer Vision technologies and extract semantics from digital images and digital video streams. F K2, K3

Module contents: 

  • Fundamentals of Visual Computing
    • Digital images and videos
    • Color models, rasterization, compression
    • Pin hole camera, homogenous coordinates, transformations
    • Representations of images and scenes
    • Lightning, color, material, and textures
  • 2D and 3D visualisation
    • 2D and 3D graphics processing
    • Information Visualization
    • Graphics pipeline and graphics HW (GPU)
    • Geometry representations (Vertices, meshes, CSG, voxels)
    • Creation of 2D/3D models
    • Programming of Web-based 2D and 3D applications
  • Applications of image and video processing
    • Basic image processing
    • Detection of structures and image segmentation
    • Movement analysis in image sequences
    • Object detection (faces)
Lectures are combined with lab work.

Literature:

 Lecture notes (presentaion slides as PDF in English)

Supplementary literature:

  

Prerequisites:

 Basic programming skills

Teaching language:

 Lectures in German, documentation and slides in English

Module structure:
Form of instruction: Number of lessons per week:
Lecture: 2
Labs: 2
Block course:  

Exams:

 The regulation on graded class assignments is binding. However, it may be waived if a formal, written request is made by the lecturer in the first week of the semester.
 
Designation Type Form Scope Grade Weighting
Graded assignments during teaching semester Lab work Progress assessment 4-6 short projects graded 40%
End-of-semester exam Exam Written 90' graded 60%

Remarks:

  

Note

Course: Visual Computing 1 - Praktikum
No.
t.BA.XX.VC1.15HS.P
Title
Visual Computing 1 - Praktikum

Note

  • No module description is available in the system for the cut-off date of 20 May 2024.
Course: Visual Computing 1 - Vorlesung
No.
t.BA.XX.VC1.15HS.V
Title
Visual Computing 1 - Vorlesung

Note

  • No module description is available in the system for the cut-off date of 20 May 2024.