http://www.iquilezles.org/www/articles/terrainmarching/terrainmarching.htm Arround 2002 I made my first attempts to visualize fractal mountains and test procedural texturing. At that time I was not able to raytrace polygons and my rasterization engine was really bad. So I chose to do a “raymarcher” to create some pictures cause it’s a really simple technique. What I implemented
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Improving the Rasterization Algorithm All the techniques we presented in the previous chapters are really the foundation of the rasterization algorithm. Though, we have only implemented these techniques in a very basic way. The GPU rendering pipeline and other rasterization based production renderers use the same concepts but they used highly optimized version
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Interpolating Vertex Attributes All we need to get a basis rasterizer working is to know how to project triangles onto the screen, convert the projected coordinates to raster space, then rasterize triangles, and potentially use a depth-buffer to solve the visibility problem. That would already be enough to create images of 3D scenes,
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In the second chapter of this lesson, we learned that in the third coordinate of the projected point (the point in screen space) we store the original vertex z-coordinate (the z-coordinate of the point in camera space):【从第二章我们知道，我们存储了额外的z值】 Finding the z-coordinate of a point on the surface of the triangle is useful
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Rasterization: What Are We Trying to Solve? In the previous chapter, we learned how to performed the first step of the rasterization algorithm in a way, which is to project the triangle from 3D space onto the canvas. This definition is not entirely accurate in fact, since what we actually really
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Quick Review In the previous chapter, we gave a high-level overview of the rasterization rendering technique. It can be decomposed into two main stages: first, the projection of the triangle’s vertices onto the canvas, then the rasterization of the triangle itself. Rasterization really means in this case, “breaking apart” the triangle’s shape into
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各种教程： OpenGL https://github.com/ssloy/tinyrenderer/wiki OpenGL http://www.3dcpptutorials.sk/index.php?id=15 Opengl ES 2.0 https://github.com/hmwill/GLESv20 我这里需要的软光栅是不需要OpenGL，DirectX的 Rasterization: a Practical Implementation https://www.scratchapixel.com/lessons/3d-basic-rendering/rasterization-practical-implementation 代码： https://www.scratchapixel.com/code.php?id=26&origin=/lessons/3d-basic-rendering/rasterization-practical-implementation An Overview of the Rasterization Algorithm The rasterization rendering technique is surely the most commonly used technique to render images of 3D scenes, and yet, that is probably
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https://software.intel.com/en-us/articles/software-occlusion-culling https://software.intel.com/en-us/blogs/2013/03/22/software-occlusion-culling-update https://software.intel.com/en-us/blogs/2013/09/06/software-occlusion-culling-update-2 Abstract: The technique divides scene objects into occluders and occludees and culls occludees based on a depth comparison with the occluders that are software rasterized to the depth buffer. 【做法】 The sample code uses frustum culling and is optimized with Streaming SIMD Extensions (SSE) instruction set and multi-threading to achieve
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全局讲述： http://www.nickdarnell.com/oxel/ Hierarchical Z-Buffer Occlusion Culling http://www.nickdarnell.com/hierarchical-z-buffer-occlusion-culling/ Hierarchical Z-Buffer Culling Steps： Bake step – Have your artists prepare occlusion geometry for things in the world that make sense as occluders, buildings, walls…etc. They should all be super cheap to render, boxes/planes. I actually ran across this paper, Geometric Simplification For Efficient
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从这篇开始讲起： http://galfar.vevb.net/wp/2013/android-terrain-rendering-vertex-texture-fetch-part-1/ To my surprise, I found out that GPU (PowerVR SGX 540) in my venerable Nexus S (2010) supports vertex texture fetch (VTF). That is, accessing texture pixels in vertex shader — a very useful feature for terrain rendering. About a year ago, when I started investigating terrain rendering on Android devices,
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