Advanced Computer Graphics (graduate course)

1
Advanced Computer Graphics(graduate course)

• Bong-Soo Sohn
• School of Computer Science and Engineering
• Chung-Ang University

2
Course Overview

• Level CSE graduate course
• No required text. We will use recent research
  papers and handout s
• This course requires C/C or matlab programming
  skills.
• Format
• Instructor lectures on graphics basics.
• Student presentation and discussion on advanced
  topics
• Conducting individual projects and presentation
• Course Objective
• Broad understanding of basic computer graphics
• Deep experience with recent advanced topics
• To get equipped with graphics knowledge and
  experience that are required to conduct graphics
  research projects

3
Topics

• Graphics Basics Theory and Programming
• Advanced Topics
• Voronoi Delaunay Triangulation , Point-Cloud
  Processing
• 3D Data Visualization focused on the Contour Tree
• CUDA many-core GPU processing
• Web3D / mobile graphics

4
Course Information

• Time Thursday 3pm-5pm
• Class webpage http//cau.ac.kr/bongbong/cg11
• Instructor Information
• Office 208-501
• Email bongbong_at_cau.ac.kr
• Office Tel [phone]
• Office Hour Wednesday 2pm-3pm or by appointment

5
Schedule

• Course Introduction (1 week)
• Graphics Basics (34 weeks)
• Rendering Pipeline
• Object Representation , Level-Of-Detail (LOD)
• Transformation
• Visual Appearance (Lighting, Shading, Material)
• Texture mapping, bump mapping,
• Large Data Processing (out-of-core, )
• OpenGL / Direct3D programming

6
(No Transcript)
7
Schedule

• Geometric Data Structures (23 weeks)
• Voronoi Diagram , Delaunay Triangulation
• Quad Tree, Octree,
• Point Cloud Processing
• Mesh Generation
• (Hierarchical) Bounding Volume

8
Schedule

• 3D Data Visualization (23 weeks)
• Contour Tree and User Interface
• Quantification
• Tree Drawing
• Simplification
• Salient Contouring

9
Volumetric Image Processing and Graphics

• Graphics / Image Processing
• Biomedical Applications

Filtering, Segmentation
CT/MRI
Electron Microscopy
Geometric Modeling
3D/4D Image
Processing
OCT
Visualization (Rendering)
Ultrasound
Quantification (Structure Analysis)
10
Input Biomedical Images

• Rapid Advance of Imaging Techniques
• Multiscale
• Static(3D) vs time-varying(4D)

X-ray Crystallography
Electron Microscopy
OCT (Optical Coherence Tomography)
CT/MRI
Cryo-EM
Cellular and Tissue Level (Nano Scale)
Molecular Level (Angstrom Scale)
Organ Level (Micro Scale)
Organ Level
11
Schedule

• CUDA (23 weeks)
• many-core GPU processing

CPU GPU
nVidia GeForce GTX590 1024 CUDA cores
12
Many-core GPU computation
GTX 280
13
Schedule

• Web3D / Mobile Graphics (12 weeks)

14
Evaluation

• Grade will be based on
• midterm exam (30)
• final exam (30)
• presentation and projects (30)
• attendance and class participation (10)