Yocto/Raytrace: Tiny Raytracer

In this homework we aim to learn the basics of image synthesis by implementing a simple, naive, path tracer. In particular:

• setup camera and image synthesis loops,
• usa ray-intersection queries,
• write simple shaders,
• write a naive path tracer with simple sampling.

(The original readme of the homework can be found as readme.html)

Framework

The code uses the library Yocto/GL, that is included in this project in the directory yocto.

In order to compile the code, you have to install Xcode on OsX, Visual Studio 2019 on Windows, or a modern version of gcc or clang on Linux, together with the tools cmake and ninja. The script scripts/build.sh will perform a simple build on OsX.

Main functionalities are implemented in yocto_raytrace.cpp.

This repository also contains tests that are executed from the command line as shown in run.sh. The rendered images are saved in the out/ directory. The results should match the ones in the directory check/. High resolution images are computed by run-highres.sh.

Functionality

In this homework/project the following features are implemented:

• Main Rendering Loop in function raytrace_samples()
• Color Shader in function shade_color()
• Normal Shader in function shade_normal()
• Texcoord Shader in function shade_texcoord()
• Eyelight Shader in function shade_eyelight()
• Raytrace Shader in function shade_raytrace()
• Thick lines and points (hard): the rendering of points and lines was too approximate; in this project we will compute these intersections accurately
  • render points as spheres and lines as capped cones using the following algorithms found here with names Sphere and Rounded Cone.
  • Extra details (implementation and test images) on this part are discussed in report.md

Some renders

Metals

Plastic

Glass

Hair

Some test scenes

• Bathroom - 256 spp

• Ecosys - 256 spp