Turingon/RaytracerGO
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

README.md aktualisiert

Browse source
This commit is contained in:
Turingon 2024-02-12 12:28:07 +00:00
parent 064f8e670a
commit 4bf76c8764
1 changed files with 6 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

6
README.md
View file

@ -46,3 +46,9 @@ By the end of this chapter I generated the following background:
In this chapter I created a simple sphere and detect its surface by solving quadratic equations, which represent vectors. The sphere has no shading yet:
<img src="https://media.discordapp.net/attachments/874752364698013736/1205930050038403072/image.png?ex=65da28e1&is=65c7b3e1&hm=26cef89e81f0810588599d6bf0db72b91b42d50789618968186b45459f501eb4&=&format=webp&quality=lossless" alt="Second PPM image" width="480"/>
### Chapter 5: Surface normals
The first part of the chapter was the calculation and visualization of the normals, which we need for shading. But I also implemented the [fast inverse square algorithm](https://youtu.be/p8u_k2LIZyo) in Go just like in Quake III, which is pretty clever and fast. I did primarily because 1) I'm working with 32-bit floats for the sake of memory efficiency and 2) I don't care about accuracy - also it's very educational. But [as explained in this video](https://youtu.be/tmb6bLbxd08) the fast inverse square isn't always the better choice and in my case it probably isn't, because I need to import a Go standard library to disable data type safety and processor padding (something I've noticed when working with small data types in Zig). This is the first visualization of the normals of the sphere:
<img src="https://media.discordapp.net/attachments/874752364698013736/1206571608878350336/image.png?ex=65dc7e60&is=65ca0960&hm=546d9e13e5158c40d52b0a5063d27501a682ba6e71283219cf7e343c9d907588&=&format=webp&quality=lossless" alt="Second PPM image" width="480"/>