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{{Infolist|1-AIN-301|Course information sheet >}}
 
{{Infolist|1-AIN-301|Course information sheet >}}
  
[[{{NAMESPACE}}:{{ROOTPAGENAME}}/sk|This page is available only in Slovak]]
+
__TOC__
 +
 
 +
; Lecture
 +
: Wednesday 9:50, M-IX
 +
; Excercises
 +
: Monday 17:20, I-H3
 +
 
 +
=== Grading ===
 +
You can get 100 points (p) during semester, where 1pt = 1% of final grade
 +
* Final writen exam: 50p
 +
* Excercises: 50p ''(with minimum of 30p)''
 +
** 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
 +
** Attendance: 10x1p
 +
                                     
 +
=== Materials ===
 +
* Žára a kol. Moderní počítačová grafika
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* Ružický, Ferko: Počítačová grafika a spracovanie obrazu
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* [http://www.sccg.sk/~sikudova/strukturovana_kniha_CD.pdf Šikudová a kol. Počítačové videnie: Detekcia a rozpoznávanie objektov]
 +
 
 +
 
 +
----
 +
== Lectures ==
 +
 
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[http://www.sccg.sk/~madaras/students.html CG slides ]
 +
*3.11. Image processing TBA
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*10.11. Image processing TBA
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*24.11. Image processing TBA
 +
*1.12. Image processing TBA
 +
*8.12. Image processing TBA
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*15.12. Exam
 +
 
 +
== Labs ==
 +
 
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* Slides & project assignment: [https://github.com/danasko/zpgso GitHub]
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<!---
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Guide: Adam Riečický
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Mondays at 16:30 on [https://teams.microsoft.com/l/channel/19%3ac7d4a4b8193e42a7ba7bd4c9fbb24599%40thread.tacv2/General?groupId=06d7acf3-8480-4c8f-aa56-6e71fd0ebbb1&tenantId=ce31478d-6e7a-4ce7-8670-a5b9d51884f9 Teams]
 +
 
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== Slides ==
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[https://docs.google.com/presentation/d/1Zv6LJ8nKIB84ly_YBpJAT8rXI4Vtxh-a2hK7H4ay_Wk/edit?usp=sharing Slides #01]
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[https://docs.google.com/presentation/d/17zB9-BhQa0jSjLs8bDOdfUHmf9MJ3dDp5bEQi-82cGE/edit?usp=sharing Slides #02]
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[https://docs.google.com/presentation/d/14luAuPU26NjKMbQRf7leVxUwQcGh0ZLBmvQ4uR4Kerc/edit?usp=sharing Slides #03]
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[https://docs.google.com/presentation/d/1IXT5HbH1q7LhgGfYJkI5khzezfBqzTT1jnp3d15VWGY/edit#slide=id.p Slides #04]
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[https://docs.google.com/presentation/d/1y2rWsXCrkgj68UuLU-ELztN57ofnoie7oG5DmgUJXKI/edit#slide=id.g29c1b949f2_0_0 Slides #05]
 +
 
 +
== Project ==
 +
 
 +
Choose programming language of your liking (suggested Python/Java/Javascript)
 +
 
 +
Finished project send to ''adam.riecicky@fmph.uniba.sk''
 +
 
 +
=== Stage 1 (3p) ===
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''Deadline 22.11.2020 23:59''
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Create a simple loader and visualizer of meshes, stored in obj. file format.
 +
 
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; Structures
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: implement IndexedFace which contains ''array of Vec4 vertex positions'' and ''array of Int indices''
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; Mesh import and display
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: load mesh from Wavefront file (.obj). [[https://dai.fmph.uniba.sk/upload/104/d/d1/obj_files.zip Download test models here]]. Assume that all imported models are scaled to box (2x2).
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: display wireframe model in the center of a screen so that the Y-axis of model directs upwards and X-axis directs right. (Z is ignored)
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; Examples of the functional program '''(ignore gui)''':
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: [https://dai.fmph.uniba.sk/upload/104/e/e2/img1.png screen 1]
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: [https://dai.fmph.uniba.sk/upload/a/a9/Img2.png screen 2]
 +
 
 +
=== Stage 2 (10p) ===
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''Deadline 22.12.2020 23:59''
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Add transformation controls to your tool.
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; Structures
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: implement math types ''Mat4'' and ''Vec4''.
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: Add functions ''Multiply(Mat4, Mat4)'', ''Multiply(Mat4, Vec4)'' OR override the multiplication operator.
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; Transformations - must be implemented using matrix multiplication!
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: Add buttons that can control the transformations of the model. When a user requests transformation by clicking a button, a model matrix should be constructed. (Optionally added to the previous transformation)
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: Motel matrix can be ''reset to identity'' using a Reset button
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: Construct a projection matrix which performs primitive orthogonal projection and transforms the object into the viewport (scale and translate as in the previous stage)
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: Always store the original model. Model transformation and projection is done for each point just before rendering
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; Examples of the functional program:
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: [https://dai.fmph.uniba.sk/upload/104/e/e2/img1.png screen 1] = Import only
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: [https://dai.fmph.uniba.sk/upload/a/a9/Img2.png screen 2] = Import only
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: [https://dai.fmph.uniba.sk/upload/8/81/Img3.png screen 3] = Imported, translated by -0.6 in X-axis, rotated by 0.6 rad around Y-axis, rotated by 0.4 rad around Z-axis and scaled by factor 1.1, in order
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=== Stage 3 (7p) ===
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''Deadline 27.1.2021 23:59''
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Enhance existing visualization tool by implementing Blinn-Phong Lightning Model
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; Mesh display
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: Implement back-face culling. Faces on the far side of the mesh should not be rendered
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: Display solid model - each face is drawn as a polygon filled with color (no edges)
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: Final face color should be calculated as multiples of base color and intensity calculated by Blinn-Phong
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; Controls
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: Add an interface to control the direction or position of the incoming light
 +
 
 +
; Examples of the functional program:
 +
: [https://dai.fmph.uniba.sk/upload/b/bd/Zpgso_pr2_scr1.png screen 1]
 +
: [https://dai.fmph.uniba.sk/upload/7/71/Zpgso_pr2_scr2.png screen 2]
 +
 
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=== Bonus Points ===
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''Submit with Stage 3''
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Extend your visualization options by the following features to earn bonus points. Attention: Your point total (including bonus points) will not exceed 25 points for exercises from computer graphics part.
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; Material Properties (1p)
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: Expose material properties ka, kd, ks, shininess, and color to GUI. Re-render image when the user changes these properties.
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; Lighting Model Selection (2p)
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: Implement a switch that allows the selection between two lighting models (Phong vs Blin-Phong). The difference should be minimal but it is a proof of concept.
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; Light Types (3p)
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: Add possibility to select the light type (point light, sun/directional light) - the GUI option should also change from "light direction" to "light position".
 +
--->

Latest revision as of 12:57, 14 October 2021

Fundamentals of Computer Graphics and Image Processing 1-AIN-301

Course information sheet >

Lecture
Wednesday 9:50, M-IX
Excercises
Monday 17:20, I-H3

Grading

You can get 100 points (p) during semester, where 1pt = 1% of final grade

  • Final writen exam: 50p
  • Excercises: 50p (with minimum of 30p)
    • 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
    • Attendance: 10x1p

Materials



Lectures

CG slides

  • 3.11. Image processing TBA
  • 10.11. Image processing TBA
  • 24.11. Image processing TBA
  • 1.12. Image processing TBA
  • 8.12. Image processing TBA
  • 15.12. Exam

Labs

  • Slides & project assignment: GitHub