Technische Universität München Fakultät für Informatik Computer Graphics SS 2014 Rüdiger Westermann Lehrstuhl für Computer Graphik und Visualisierung.

Präsentation zum Thema: "Technische Universität München Fakultät für Informatik Computer Graphics SS 2014 Rüdiger Westermann Lehrstuhl für Computer Graphik und Visualisierung."—  Präsentation transkript:

1 Technische Universität München Fakultät für Informatik Computer Graphics SS 2014 Rüdiger Westermann Lehrstuhl für Computer Graphik und Visualisierung

2 Technische Universität München Computer Graphics Schedule Lecture: Mon. 2 pm – 3.30 pm, Interims HS2 Thu. 2 pm – 3.30 pm, Interims HS2 –Lecture slides online at http://wwwcg.in.tum.de/teaching/teaching/summer-term-14/computer-graphics/material.html http://wwwcg.in.tum.de/teaching/teaching/summer-term-14/computer-graphics/material.html –Password secured.zip files (passwd: ‘cg2014‘) No lecture on 10.4.2014 Written exam: 75-90 minutes 2

3 Technische Universität München Computer Graphics Computer graphics - general infos Lecture slides –Lecture slides available beforehand –Contain links to additional material Lecture attendance is highly recommended –On-board examples, sometimes similar to what is asked in the exam –Answers to specific questions increase understanding –Hints on “important” sub-topics –Discussion of previous exams throughout the lecture 3

4 Technische Universität München Computer Graphics Computer graphics - general infos Check the library and the web for literature Recommended books: –Foley, Van Dam, Feiner, Hughes: Computer Graphics: Principles and Practice, Addison-Wesley, 3rd edition –Watt, Watt: Computer Graphics, Addison-Wesley –Glassner: Principles of digital image synthesis, Morgan Kaufman –Encarnaçao, Klein, Strasser: Graphische Datenverarbeitung, 4. Auflage, Oldenburg Verlag –Griebel, Bungartz, Zenger: Computer Graphik, Vieweg+Teubner Verlag 4

5 Technische Universität München Computer Graphics (Rendering) Image Synthesis Modelling Animation VisualizationImaging Computer graphics – areas Imaging and computer vision The manipulation of images and the extraction of object specific information from images Visualization Methods to visually represent the information content within large-scale multi- dimensional and/or multi-modality data sets Geometric Modelling The representation and efficient modification of geometric shape on a computer Animation and simulation The generation and representation of dynamic imagery on a computer The display of models and scenes on a computer 5

6 Technische Universität München Computer Graphics Photorealistic image synthesis Algorithms for image synthesis, i.e. rendering algorithms: Given a digital model on the computer, what kind of operations have to be performed to generate a photorealistic image of this model –A photorealistic image is one that cannot be distinguished from a photograph of the real object 6

7 Technische Universität München Computer Graphics 7

8 Technische Universität München Computer Graphics Real or CG? http://area.autodesk.com/fakeorfoto 8

9 Technische Universität München Computer Graphics Realtime CG? http://www.youtube.com/watch?v=dNuIzOxOfn8 9

10 Technische Universität München Computer Graphics Photorealistic image synthesis Ingredients and prerequisites for image synthesis Scene description  Objects‘ shape  Objects‘ appearance  Color and texture  Reflection properties  Light source properties  Intensity  Color  Direction Physics of light interaction 10

11 Technische Universität München Computer Graphics Image synthesis – the wireframe 11

12 Technische Universität München Computer Graphics Image synthesis – deph culling/attenuation 12

13 Technische Universität München Computer Graphics Image synthesis – color vectors 13

14 Technische Universität München Computer Graphics Image synthesis – hidden line removal 14

15 Technische Universität München Computer Graphics Image synthesis – constant shading 15

16 Technische Universität München Computer Graphics Image synthesis – flat shading 16

17 Technische Universität München Computer Graphics Image synthesis – Phong-shading 17

18 Technische Universität München Computer Graphics Image synthesis – bicubic models, advanced illumination 18

19 Technische Universität München Computer Graphics Image synthesis – texture mapping 19

20 Technische Universität München Computer Graphics Image synthesis – bump mapping 20

21 Technische Universität München Computer Graphics Image synthesis – reflection mapping 21

22 Technische Universität München Computer Graphics Computer graphics – this course Algorithms for image synthesis –Given a model on the computer, which are the algorithms we can use to generate a realistic image of this model. –Problems discussed range from model representations and data structures to light simulation and graphics hardware. 22

23 Technische Universität München Computer Graphics Part 1: image synthesis – fundamentals Modeling –Polygonal objects Color –What is? Light interaction –Illumination –Reflection –Refraction 23

24 Technische Universität München Computer Graphics Part 2: image synthesis – ray-tracing Ray-tracing –Concept & technique –Transformations –Lighting/Shading –Optimization –Sampling 24

25 Technische Universität München Computer Graphics Part 3: image synthesis - graphics APIs Rasterization based rendering –Rendering pipeline –Projective transforms –Rasterization –Programmability and GPUs 25