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고급 컴퓨터 그래픽스

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 C/C++ programming skills Format Instructor lectures on graphics basics.

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고급 컴퓨터 그래픽스

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  1. 고급 컴퓨터 그래픽스 중앙대학교 컴퓨터공학부 손 봉 수

  2. Course Overview • Level : CSE graduate course • No required text.We will use lecture notes and on-line materials • This course requires C/C++ programming skills • Format • Instructor lectures on graphics basics. • 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

  3. 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

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

  5. Example • Virtual Billiard, 카트라이더

  6. Topics • Graphics and Visualization Basics • Graphics Programming • CUDA : many-core GPU programming , GPGPU • GUI + Graphics Programming (QT OpenGL programming) • Mobile Graphics (Android OpenGL ES programming) • Advanced Topics • Recent papers

  7. Course Information • Time: Tuesday3pm-6pm • Class webpage : http://cau.ac.kr/~bongbong/cg12 • Instructor Information • Office: 208-501 • Email : bongbong@cau.ac.kr • Office Tel# : 820-5843 • Office Hour: Tuesday2pm-3pm or by appointment

  8. 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 • Photo-Realistic Rendering (Raytracing, …)

  9. Polygonal Model • Mesh Representation

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

  11. Cardiovascular Modeling Research Pipeline Rendering, Quantitative Visualization Simulation Geometric Modeling 3D Image Acquisition cardivascular disease research, medical device design, and surgical planning

  12. Terrain Rendering

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

  14. Graphics Programming • QT library • OpenGL • OpenGL ES

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

  16. Many-core GPU computation GTX 280

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

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