mgr inż. Paweł Aszklar

Computer Graphics

General Info

Schedule

• Week 1 - Task 1: Project introduction — Image Filtering (Gr. 1 - Feb. 24^th, Gr. 2 - Feb. 25^th, Gr. 3 - Feb. 26^th, Gr. 4 - Feb. 20^th)
• Week 2 - Task 1: Consultations (Gr. 1 - Mar. 3^rd, Gr. 2 - Mar. 4^th, Gr. 3 - Mar. 5^th, Gr. 4 - Feb. 27^th)
• Week 3 - Task 1: Project due date and laboratory part (Gr. 1 - Mar.10^th, Gr. 2 - Mar. 11^th, Gr. 3 - Mar. 12^th, Gr. 4 - Mar. 6^th)
• Week 4 - Task 2: Project introduction — Dithering and Color Quantization (Gr. 1 - Mar. 17^th, Gr. 2 - Mar. 18^th, Gr. 3 - Mar. 19^th, Gr. 4 - Mar. 13^th)
• Week 5 - Task 2: Consultations (Gr. 1 - Mar. 24^th, Gr. 2 - Mar. 25^th, Gr. 3 - Mar. 26^th, Gr. 4 - Mar. 20^th)
• Week 6 - Task 2: Project due date and laboratory part (Gr. 1 - Mar. 31^st, Gr. 2 - Apr. 1^st, Gr. 3 - Apr. 2^nd, Gr. 4 - Mar. 27^th)
• Week 7 - Task 3: Project introduction — Rasterization (Gr. 1 - Apr. 7^th, Gr. 2 - Apr. 8^th, Gr. 3 - Apr. 9^th, Gr. 4 - Apr. 3^rd)
• Week 8 - Task 3: Consultations (Gr. 1 - Apr. 14^th, Gr. 2 - Apr. 15^th, Gr. 3 - Apr. 16^th, Gr. 4 - Apr. 10^th)
• Apr. 14^th - Midterm Test
• Week 9 - Task 3: Project due date and laboratory part (Gr. 1 - Apr. 28^th, Gr. 2 - Apr. 29^th, Gr. 3 - Apr. 23^rd, Gr. 4 - Apr. 24^th)
• Week 10 - Task 4: Project introduction — Clipping and Filling (Gr. 1 - May 5^th, Gr. 2 - May. 6^th, Gr. 3 - Apr. 30^th, Gr. 4 - May 8^th)
• Week 11 - Task 4: Consultations (Gr. 1 - May 12^th, Gr. 2 - May 13^th, Gr. 3 - May 7^th, Gr. 4 - May 15^th)
• Week 12 - Task 4: Project due date and laboratory part (Gr. 1 - May 19^th, Gr. 2 - May 20^th, Gr. 3 - May 21^st, Gr. 4 - May 22^nd)
• Week 13 - Task 5: Laboratory part and project introduction — 3D Graphics (Gr. 1 - May 26^th, Gr. 2 - May 27^th, Gr. 3 - May 28^th, Gr. 4 - May 29^th)
• Week 14 - Task 5: Consultations (Gr. 1 - Jun. 2^nd, Gr. 2 - Jun 3^rd, Gr. 3 - Jun. 4^th, Gr. 4 - Jun. 5^th)
• Week 15 - Task 5: Project due date (Gr. 1 - Jun. 9^th, Gr. 2 - Jun 10^th, Gr. 3 - Jun. 11^th, Gr. 4 - Jun. 12^th)

Lectures

Lecture 1

Course overview
Raster Images
Image filtering
Function and convolution filters

Lecture 2

Gray scale
Monochromatic graphics
Halftoning and dithering

Lecture 3

Color
Color models and Color Spaces
Color Conversions

Lecture 4

Histograms
Color Quantization
Raster Image File Formats

Lecture 5

Rasterization algorithms
Drawing lines and circles
Antialiasing

Lecture 6

Clipping algorithms
Clipping lines
Clipping polygons

Lecture 7

Filling polygons
Filling regions
Filling with pattern

Lecture 8

Curves
Polynomial curves
Splines

Lecture 9

Computational geometry
Point classification
Space partitioning

Lecture 10

2D transformations
Affine coordinates
Image remapping

Lecture 11

3D transformations
Quaternions
Projections and stereoscopy

Lecture 12

3D modeling
Visibility algorithms

Lecture 13

Phong illumination model
Shading algorithms
Global Illumination problem

Lecture 14 - source code

Introduction to OpenGL 4.5 and DirectX 11