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Applied Computer Graphics 4860-1084

CI_Linux CI_Win

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Lecture at graduate school of information science and technology in the university of Tokyo, spring semester, 2024

UTOL (UTokyo-LMS) (for Zoom URL, Slack and GitHub Classroom invitations):

Instructors

Dr. Nobuyuki Umetani

TA: Kenji Tojo

Time

Monday 2rd period, 10:25am - 12:10pm

Course Description

Computer graphics is a technology to computationally represent objects' geometry, appearance and movement. This course is an introduction to the techniques generally seen in computer graphics. The aim of the course is to get familiar with applied mathematics such as linear algebra, vector analysis, partial differential equations, numerical analysis and optimization through the topics in computer graphics. There are C++ programming assignments to acquire research-oriented graphics programming skills such as OpenGL, shader programming, Eigen matrix library, Git and cmake.

Topics:

  • affine transformation & homography
  • character animation (forward & inverse kinematics)
  • visualization (rasterization / ray casting)
  • optimization ( continuous optimization / dynamic programming )
  • parametric curves & surfaces
  • variational mesh deformation
  • grid-based fluid simulation

Lecture Schedule

Day Topic Assignment Slide
(1)
Apr. 8
Introduction
Didigital image
[1], [4]
(2)
Apr. 15
Parametric curves / surfaces
Rasterization in 2D, Digital Differential Analyzer
task01 [5] [6]
(3)
Apr. 22
Coordinate transfrormation
Bézier curve, polynominal, Affine, homography transformation
task02 [7] [8]
(5)
May 7
Graphics Pipeline 1
depth buffer method, shading
task03
(4)
May 13
Graphics Pipeline 2
shadow, anti aliasing
task04
(6)
May 20
Ray Casting 1
spatial data structure
task05
(7)
May 27
Ray Casting 2
Rendering equation, Monte Carlo integration
task06
(8)
June 3
Character animation
Linear blend skinning
task07
(9)
June 10
Guest lecture by Dr. Rex West
(10)
June 17
Optimization
Inverse kinematic
task08
(11)
June 24
Laplacian mesh deformation task09
(12)
July 12
Grid-based Fluid Ⅰ
Poisson equation
task10
(13)
July 8
Grid-based Fluid Ⅱ
Stam fluid

Grading

  • 20% lecture attendance
    • Attendance is counted based on writing a secret keyword on LMS. The keyword is announced for each lecture.
  • 80% small assignments
    • see below

Assignemnts

There are many small programming assignments. To do the assignments, you need to create your own copy of this repository through GitHub Classroom.
These assignments need to be submitted using pull request functionality of the GitHub. Look at the following document.

How to Submit the Assignments

Task ID Title Thumbnail
task01 Rasterization of lines and polygons
DDA, winding number
task02 Rasterization of parametric curves
Quadratic Bézier curve, root of polynominal
task03 Perspectively-correct texture mapping
rasterization of triangle, barycentric coordinate
task04 Vertex shader practice
Rendering pipeline, mirror reflection, OpenGL
task05 Fragment shader practice
Ray marching method, CSG modeling, implicit modeling
task06 Monte Carlo integration
Multiple importance sampling, path tracing, rendering equation
task07 TBD
task08 TBD
task09 TBD
task10 TBD

Policy

  • Do the assignment by yourself. Do not share the answers of the assignments.
  • Late submission of an assignment is subject to grade deduction.
  • Score each assignment will not be open soon (instructor needs to adjust weight of the score later).
  • The assignments might not be graded soon.

Slides

Reading Material

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Contributors

nobuyuki83 avatar shunsuke0205 avatar sunskyxh avatar

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