고급 컴퓨터 그래픽스 중앙대학교 컴퓨터공학부 손 봉 수

Course Overview Level : CSE graduate course No required text. We will use lecture notes and on-line materials This course requires high level of C/C++ programming skills Format –Instructor lectures on graphics basics and OpenGL programming. –Student presentation and discussion on graphics programming & advanced topics –Conducting individual projects and presentation Course Objective –Broad understanding of basic computer graphics –Apply computer graphics knowledge to real graphics programming –Deep experience with recent advanced topics

Graphics vs Vision Computer Vision –Understanding the “content” of an obtained image (usually by creating a “model” of the depicted scene) Computer Graphics –Creating an image from a computer model Image Processing –Processing an image into another form of an image or features 3D Model 2D Image Graphics Vision

Computer Graphics Introduction Imaging : representing 2D images Modeling : representing 3D objects Rendering : drawing 2D images from 3D models Animation : models/scenes deform & move Modeling Rendering Animation

Example Virtual Billiard, 카트라이더

Topics Graphics and Visualization Basics –Modeling & Rendering Graphics Programming –OpenGL Graphics Programming –CUDA : many-core GPU programming, GPGPU Volume Visualization –Isosurface Extraction –Volume Rendering Advanced Topics –Recent papers

Course Information Time : Thursday 3pm-6pm Class webpage : Instructor Information –Office : – –Office Tel# : –Office Hour : Wednesday 1-2pm or by appointment

Evaluation Grade will be based on –midterm exam (30%) –final exam (30%) –presentation and class participation (30%) –attendance (10%)

Graphics Basics Rendering Pipeline Object Representation, Modeling, Transformation Visual Appearance (Lighting, Shading, Material) Texture mapping, bump mapping, … Visibility (Z-buffers, … ), Terrain Visualization Basic Image Processing Volume Visualization (Volume Rendering)

Polygonal Model Mesh Representation

Volumetric Model [ volume image ] [ skin surface ] [ bone surface ] F(x,y,z) Isosurface : F(x,y,z) = w w = skin density w = bone density

Terrain Rendering

Animation Motion Capture Physics Based Animation Sound Processing –3D Sound [SNU MRL lab] [SNU graphics lab] [Stanford graphics lab]

Graphics Programming –QT library –OpenGL –OpenGL ES

Volume Visualization Isosurface Extraction Volume Rendering Quantitative Visualization –Contour Tree –Automatic Generation of Transfer Function Vector Field Visualization

Example (Volume Rendering, Isosurface) [ volume image ] [ skin surface ] [ bone surface ] F(x,y,z) Level Set : F(x,y,z) = w w = skin density w = bone density

Medical applications

Building Information Modeling (BIM) generation and management of a digital representation of physical and functional characteristics of a facility.

KISTI 수퍼컴퓨팅센터

Many-core GPU computation CUDA –many-core GPU processing –GPGPU (General Purpose computing on GPU) nVidia GeForce GTX590 : 1024 CUDA cores CPU GPU

Many-core GPU computation GTX 280