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This video is an introduction to how triangle rasterization works. We'll start by discussing a parallel algorithm for polygon rasterization based on an article written by Juan Pineda in 1988. We'll review the basic algorithm and implement a simple version using C & SDL. But more than just a simple rasterizer, we'll cover some other important ideas in this video: Rasterization rules (top-left fill convention) Subpixel precision Interpolation using barycentric coordinates Some simple rasterizer optimizations Chapters: 00:00:00 Introduction 00:05:48 Scanline rasterizer 00:11:07 Pineda's rasterization algorithm 00:11:24 Sources & inspiration 00:13:34 High-level overview of our rasterization algorithm 00:18:30 Initial code overview 00:31:44 Compiling our code 00:34:12 Defining if a point is inside a triangle 00:57:34 Fill convention (top-left rasterization rule) 01:11:56 Barycentric coordinates 01:31:23 Avoiding computing the edge function per-pixel 01:50:32 Rotating our triangles 01:56:58 Subpixel precision 02:11:37 Conclusion & next steps Download the initial boilerplate code: https://github.com/gustavopezzi/sdl-r... Triangle rasterizer code (integer): https://github.com/gustavopezzi/trian... Triangle rasterizer code (float): https://github.com/gustavopezzi/trian... Triangle rasterizer code (16.16 fixed-point): https://github.com/gustavopezzi/trian... Juan Pineda's parallel rasterization article: https://www.cs.drexel.edu/~david/Clas... Fabian Giesen's article on triangle rasterization: https://fgiesen.wordpress.com/2013/02... Kristoffer Dyrkorn's article on triangle rasterization: https://kristoffer-dyrkorn.github.io/... Bastian Molkenthin's article on triangle rasterization: http://www.sunshine2k.de/coding/java/... Gabriel Gambetta's article on triangle rasterization: https://gabrielgambetta.com/computer-... For comprehensive courses on computer science, retro programming, and mathematics, visit: http://www.pikuma.com. Also, don't forget to subscribe to receive updates and news about new lectures and tutorials: / @pikuma Enjoy!