Lecture 7 of 41. Viewing 4 of 4: Culling and Clipping Lab 1b: Flash Intro
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1 Viewing 4 of 4: Culling and Clipping Lab 1b: Flash Intro William H. Hsu Department of Computing and Information Sciences, KSU KSOL course pages: / Public mirror web site: Instructor home page: Readings: Today: Sections 2.3.5, 2.4, 3.1.3, Eberly 2 e see Next class: Sections 2.4, 2.5, 3.1.6, Eberly 2 e Brown CS123 slides on Clipping Wayback Machine archive of Brown CS123 slides: 2 Lecture Outline Reading for Last Class: Sections 2.5.1, 3.1 Eberly 2 e Reading for Today: 2.3.5, 2.4, 3.1.3, Eberly 2 e Reading for Next Class: 2.4, 2.5 (Especially 2.5.4), 3.1.6, Eberly 2 e Last Time: Scan Conversion (aka Rasterization) of Lines Incremental algorithm Bresenham s algorithm & midpoint line algorithm Preview: Circles and Ellipses (Lecture 8) Today: Intro to Clipping and Culling Clipping 2-D derivation: clip edges Algorithms: Cohen-Sutherland, Liang-Barsky/Cyrus-Beck 3-D derivation: clip faces Culling Back face culling Occlusion culling
2 3 Where We Are 4 Clipping
3 5 Line Clipping 6 Parametric Line Formulation For Clipping
![7 Cohen-Sutherland 2-D Clipping: Outcodes [1]](/docs-images/72/66641921/images/4-1.jpg "8 Cohen-Sutherland 2-D Clipping: Outcodes [2]")
4 7 Cohen-Sutherland 2-D Clipping: Outcodes [1] 8 Cohen-Sutherland 2-D Clipping: Outcodes [2]
5 9 Cohen-Sutherland Algorithm [1] 10 Cohen-Sutherland Algorithm [2]
6 11 Scan Conversion after Clipping 12 Sutherland-Hodgman Polygon Clipping
7 13 Cyrus-Beck / Liang-Barsky Parametric Line Clipping [1] 14 Cyrus-Beck / Liang-Barsky Parametric Line Clipping [2]
8 15 Cyrus-Beck / Liang-Barsky Parametric Line Clipping [3] 16 Cyrus-Beck / Liang-Barsky Line Clipping Algorithm
9 17 Parametric Line Clipping For Upright Clip Rectangle [1] 18 Parametric Line Clipping For Upright Clip Rectangle [2]
10 19 Culling: A Form of Visible Surface Determination 20 Visibility Culling: View Frustum, Back Face, Occlusion Kim et al., KAIST VR Lab
11 21 Occlusion Culling 2010 Kwoon, J. (Jakkor), Roblox.com Sekulic, D. Chapter 29: Efficient Occlusion Culling. In Fernando, R., ed., GPU Gems. Reading, MA: Addison-Wesley Lab 1B Adobe Flash Basic 2-D (up to Flash v9) 3-D: Flash 10+ Simple Flash animation exercise Animation Ideas Animate: to bring to life From still frames to animations Incremental change and smoothness Using Culling Back faces illustrated What to do besides cull Simple Flash Animation Exercise Watch Senocular.com tutorial(s) as needed ( Turn in ActionScript source code Screenshot(s) as instructed in Lab 1 handout
12 23 Summary Last Time: Scan Conversion (aka Rasterization) Lines: incremental algorithm vs. (Bresenham s) midpoint algorithm Decision variables and forward differences Circles and Ellipses (preview) See Also: CG Basics 3-4 CG Basics 3: Projections and 3-D Viewing (in detail) CG Basics 4: Fixed-Function Graphics Pipeline Today: Clipping and Culling What parts of scene to clip: edges vs. polygons of model What parts of viewport to clip against: clip faces vs. clip edges Clipping techniques Cohen-Sutherland: outcodes (quick rejection), test intersections Liang-Barsky / Cyrus-Beck: solve for t, find innermost PE/PL Visibility culling: view frustum, back face, occlusion Next: More Scan Conversion (Polygons, Scan Line Interpolation) 24 Terminology Fixed Function Pipeline Modelview transformation Normalizing transformation (inverse of viewing transformation) Coordinate Spaces Model space absolute w.r.t. model World space aka scene space absolute w.r.t. scene, canonical Camera / Eye / View space relative, user-defined, arbitrary Clip space before perspective division Normalized device coordinates after perspective division Clipping and Culling Clip faces/edges clip region (screen, view volume) boundaries Clipping techniques Cohen-Sutherland: outcodes (quick rejection), test intersections Liang-Barsky / Cyrus-Beck: solve for t, innermost PE/PL Visibility culling: view frustum, back face, occlusion
Lecture 6 of 41. Scan Conversion 1 of 2: Midpoint Algorithm for Lines and Ellipses
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Lecture 6 of 41. Scan Conversion 1 of 2: Midpoint Algorithm for Lines and Ellipses
Scan Conversion 1 of 2: Midpoint Algorithm for Lines and Ellipses William H. Hsu Department of Computing and Information Sciences, KSU KSOL course pages: http://bit.ly/hgvxlh / http://bit.ly/evizre Public
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