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* Summary | * Summary | ||

** Attendance = 0 or -100 (Fx) | ** Attendance = 0 or -100 (Fx) | ||

− | ** Homework = + | + | ** Homework = +30..9 or +8..0 (Fx) |

** Project = +50..0 | ** Project = +50..0 | ||

− | |||

** Final term = +20..0 | ** Final term = +20..0 | ||

** Oral/written exam = +20..0 | ** Oral/written exam = +20..0 | ||

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** Fx = 0-59 | ** Fx = 0-59 | ||

− | *[https://docs.google.com/spreadsheets/d/ | + | *[https://docs.google.com/spreadsheets/d/1GrynhSKOZe9SjB_lhgzQTwPdUJOnHgfizIhKwhWyNyM/edit?usp=sharing '''VIEW RESULTS'''] |

*Teams homework and results [https://teams.microsoft.com/l/team/19%3a4a90d1f0430440f59bab933ecb4b291c%40thread.tacv2/conversations?groupId=094ff376-3963-4603-9944-779e10ed966a&tenantId=ce31478d-6e7a-4ce7-8670-a5b9d51884f9 '''Team'''] Code: dlvg3t4 | *Teams homework and results [https://teams.microsoft.com/l/team/19%3a4a90d1f0430440f59bab933ecb4b291c%40thread.tacv2/conversations?groupId=094ff376-3963-4603-9944-779e10ed966a&tenantId=ce31478d-6e7a-4ce7-8670-a5b9d51884f9 '''Team'''] Code: dlvg3t4 | ||

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guide: [[Daniel Kyselica|Daniel Kyselica]] | guide: [[Daniel Kyselica|Daniel Kyselica]] | ||

− | Thursday at | + | Thursday at 8:10 |

; Evaluation | ; Evaluation | ||

− | : 50 pts | + | : 50 pts |

− | + | ||

=== 1. Color Theory === | === 1. Color Theory === | ||

− | Introduction to [https:// | + | Introduction to [https://docs.google.com/presentation/d/1sQtk0GDFzJWGG2kqfrR_IpozTwjkWwWy/edit?usp=sharing&ouid=105592092615152451370&rtpof=true&sd=true Color Handouts]. |

− | + | ||

=== 2. Color Spectrum === | === 2. Color Spectrum === | ||

Computation of RGB values from color spectrium. | Computation of RGB values from color spectrium. | ||

− | [ | + | [https://docs.google.com/presentation/d/1dAyPvmZoAuNNPB5TXjbkAaaMtPyc_xRV/edit?usp=sharing&ouid=105592092615152451370&rtpof=true&sd=true Handouts]<br> |

'''Assigment''' - Compute RGB Color of Black body at temperature (Deadline 7.10. 10:40) | '''Assigment''' - Compute RGB Color of Black body at temperature (Deadline 7.10. 10:40) | ||

− | * T = | + | * T = choose 3 random values between 1000 and 20 000 K |

* Create program in any programing language or use excel | * Create program in any programing language or use excel | ||

* Send corresponding color and RGB values | * Send corresponding color and RGB values | ||

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[[media:Course:Riesenie.xlsm|Solution example]] | [[media:Course:Riesenie.xlsm|Solution example]] | ||

+ | <!--- | ||

=== 3. Vectary === | === 3. Vectary === | ||

* Introduction to [https://www.vectary.com/ vectary] | * Introduction to [https://www.vectary.com/ vectary] | ||

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* Materials | * Materials | ||

− | + | === 8 Topology === | |

+ | * Construction from polygons | ||

+ | * Euler characteristics | ||

+ | [[media:Course:cvicenie8.pdf| handouts]] | ||

+ | |||

+ | === 9 Fourier transform === | ||

+ | * [[media:Course:cvicenie9.pdf| handouts]] | ||

+ | * [https://colab.research.google.com/ colab] | ||

+ | * [[media:Course:assignment.ipynb| assignment.ipynb]] | ||

+ | |||

+ | |||

[https://drive.google.com/open?id=1aGF4CQpUXwsCBW8t6RUlCVGZQvreSBQdyZfCDTsT-t0 Intro slides] | [https://drive.google.com/open?id=1aGF4CQpUXwsCBW8t6RUlCVGZQvreSBQdyZfCDTsT-t0 Intro slides] | ||

## Latest revision as of 09:53, 22 September 2022

# Modelling and Rendering Techniques (Course Materials)

## Contents

- 1 Modelling and Rendering Techniques (Course Materials)
- 1.1 Grading
- 1.2 What you Need to Pass
- 1.2.1 Oral Examination
- 1.2.2 Materials to read
- 1.2.3 Useful links
- 1.2.4 Lesson01 "Human visual system, Illusions"
- 1.2.5 Lesson02 "Photographic Effects, HDR and Tone Mapping"
- 1.2.6 Lesson03 "Three dimensional modeling"
- 1.2.7 Lesson04 "Three dimensional transformations"
- 1.2.8 Lesson05 "Representation of solids"
- 1.2.9 Lesson06 "Functional representation"
- 1.2.10 Lesson07 "Test (midterm) 2"
- 1.2.11 Lesson08 "Computational topology of polygonal surfaces"
- 1.2.12 Lesson09 "Applied computational topology"
- 1.2.13 Lesson10 "Surface classification via topological surgery"
- 1.2.14 Lesson11 "Surface classification via topological surgery II"
- 1.2.15 Lesson12 "Aliasing, Antialiasing"
- 1.2.16 Lesson13 "Last lecture"

- 2 Exercises

Lecture Monday 12:20 M-V

### Grading

No make-up exams will be given for missed tests. All the assignments should be turn in by the designated due date. To pass this course all the course requirements must be SATISFACTORILY completed > 30% of each problem set.

## What you Need to Pass

- Attend lessons. One missed +0 points. 2 missed 0 points, 3 missed 0 points, 4 and more is Fx.
- Project and exercise (mandatory, 50 points).
- Solve all homework problems (mandatory each one >=30%, 20 points)
- Pass final term (mandatory, 10 points) You will need to solve several problems discussed during lessons.
- Pass oral/written exam: (optional, +20 points) If you feel you are better, convince me !
- Summary
- Attendance = 0 or -100 (Fx)
- Homework = +30..9 or +8..0 (Fx)
- Project = +50..0
- Final term = +20..0
- Oral/written exam = +20..0

- Grades
- A = 92-100
- B = 84-91
- C = 76-83
- D = 68-75
- E = 60-67
- Fx = 0-59

**VIEW RESULTS**- Teams homework and results
**Team**Code: dlvg3t4

### Oral Examination

To the oral examination all the above requirements must be SATISFACTORILY completed.

### Materials to read

- Michael Henle, "A Combinatorial Introduction to Topology"
- J. O'Rourke, "Computational Geometry in C"
- IA. T. Fomenko and T. L. Kunii, "Topological Modeling for Visualization"

### Useful links

### Lesson01 "Human visual system, Illusions"

Lecture notes: pdf, Color theory: pdf

Reading(prepare 3 questions and the core idea of article): R. Ďurikovič and K. Kolchin. Physically-based model of photographic effects for night and day scenes, Journal of Three Dimensional Images, 3D Forum Society, vol. 15, No.4, pages 119-124, 2001. [pdf]

### Lesson02 "Photographic Effects, HDR and Tone Mapping"

Lecture notes: pdf

Reading evaluation.

### Lesson03 "Three dimensional modeling"

Lecture notes: pdf

Demo animation: R. Ďurikovič, K. Kaneda, and H. Yamashita. Dynamic contour: a texture approach and contour operations. The Visual Computer, 11(6), pages 277-289, May 1995. [pdf]

### Lesson04 "Three dimensional transformations"

Lecture notes: pdf

Demo animation: R. Ďurikovič, K. Kaneda, and H. Yamashita. Imaging and modelling from serial microscopic sections for the study of anatomy. Medical & Biological Engineering & Computing, 36(5), pages 276-284, 1998. [pdf]

### Lesson05 "Representation of solids"

Lecture notes: pdf

Midterm 1 + questions from the following articles.

Demo animation: Roman Ďurikovič, Silvester Czanner, Julius Parulek and Miloš Šrámek. Heterogeneous modeling of biological organs and organ growth. In book: Alexander Pasko, Valery Adzhiev, and Peter Comninos. LNCS 4889: Heterogeneous Objects Modeling and Applications. Springer Press, Berlin, 2008. [pdf]

### Lesson06 "Functional representation"

Lecture notes: pdf

R. Ďurikovič. Growth simulation of digestive system using function representation and skeleton dynamics, International Journal on Shape Modeling, vol. 10, No.1, pages 31-49, World Scientific Publishing Company, Singapore, 2004.[pdf]

### Lesson07 "Test (midterm) 2"

Demo animation: Roman Ďurikovič and Zuzana Kúkelová. Sketch-based modelling system with convolution and variational implicit surfaces, IADIS International Journal on Computer Science and Information Systems, vol. 2, No.1, pages 181-188, 2007, ISSN 1646-3692. [pdf]

### Lesson08 "Computational topology of polygonal surfaces"

Lecture notes: pdf

Demo animation: Y. Wakabayashi and R. Ďurikovič. Modeling bonsai tree using positional information, Joint Convention Record of Tohoku Chapter of the Electrical and Information Engineers, No. 2I19, Yonezawa, Japan, pages 341, 2002.[pdf]

### Lesson09 "Applied computational topology"

Lecture notes: pdf

Solving problems 7P 1~7

### Lesson10 "Surface classification via topological surgery"

Lecture notes: pdf

### Lesson11 "Surface classification via topological surgery II"

Lecture notes: pdf

Solving problems 8P 1~4

### Lesson12 "Aliasing, Antialiasing"

Lecture notes: pdf

### Lesson13 "Last lecture"

Final exam!

# Exercises

guide: Daniel Kyselica

Thursday at 8:10

- Evaluation
- 50 pts

### 1. Color Theory

Introduction to Color Handouts.

### 2. Color Spectrum

Computation of RGB values from color spectrium.
Handouts

**Assigment** - Compute RGB Color of Black body at temperature (Deadline 7.10. 10:40)

- T = choose 3 random values between 1000 and 20 000 K
- Create program in any programing language or use excel
- Send corresponding color and RGB values
- cie-cmf table cie.tsv
- Use values from table for HDTV