Field related and methodical knowledge: The module offers basic information about visual computing and a critical insight into its theory and principles:
* Computer Graphics
* Computer Vision
* Digital Image Processing
* Visualization
* Augmented/Mixed/Virtual Reality.
Cognitive and practical knowledge: Through practical analysis of latest topics, methods and tools (like modern programming languages and environments), the following coginitive skills are imparted:
* Utilization of basic formal methods for definition, solving and evaluation of problems
* Methodic processing of problems, dealing with open/unspecified situations
* Outline and implementation strategies
Social expertise, innovation and creativity: The focus is on encouraging high creativity and innovation capabilities.
* Own initiative and curiosity
* Self organization and responsibility
* Competence in problem formulation and capability of solving problems
* Knowledge of own skills and borders, capability to take criticism
This lecture is given in German.
* Digital images: Resolution, Sampling, Quantization, Representation of colors
* Image operatons: Point operations, local and global operations
* Segmentation
* Detection of motion
* Representation: contour-based, reggion-based (Moments, Graphs)
* Encoding: Entropy-Encoding, Source-Encoding
* Compression: Predictive encoding, Vector quantization, JPEG, MPEG
* Hardware: Input and output devices, Medical imaging, Sensors
* Radiometric and geometric transformations
* Graphic primitives and their attributes
* 2D and 3D Viewing, Rendering Pipeline
* Visibility
* 3D object representations
* Curves and Surfaces
* Lighting and Shading
* Ray-Tracing und Global Illumination
* Textures and other mappings
* Colors and Color spaces
* Computational photography
* Non-photorealistic rendering
ECTS-breakdown (estimation, advise):
40 h Lectures
42 h Preparation for exams
68 h Assignments
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150 h equals 6 ECTS, each of 25 hours
