Welcome to the project blog!

Hello there, dear reader! This is a project blog for the course DH2323 Computer Graphics and Interaction at the Swedish Royal Institute of Technology (KTH). My name is Anders Steen, and I am the sole member of this project.

The posts will be progress updates during the course of the project, containing summaries as well as screenshots of the project's current status.

The next post will be the preliminary project specification, so stay tuned for that!

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Marching cubes algorithm

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The marching cubes algorithm is an algorithm that renders an isosurface defined by a scalar field. The metaballs define just such a surface, so the algorithm is perfect for this situation! There is a video that showcases and partially explains the algorithm, embedded below. Additionally, there is a web page that thoroughly explains the algorithm and supplies source code for a c implementation of the algorithm. This is the URL:  http://paulbourke.net/geometry/polygonise/ . My plan is now to adapt that implementation to my project, which will mean writing it in C# as well as using the Unity API. Naturally. the original author Paul Bourke deserves a lot of credit, and will be credited in the code as well as in the project report (and on this blog, obviously). The source code going together with the great explanation is exactly what I needed to be able to easily use this algorithm in the project. Thanks Paul!
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Gilbert Johnson Keerthi Stelly Muratori... or not

The title of this post is an absurd amalgamation of names, but with good reason. Gilbert, Johnson and Keerthi described the GJK algorithm. Later, Jay Stelly of Valve and Casey Muratori realized that a lot of the papers describing the algorithm were describing methods that did a lot of unnecessary tests and computations. So, Muratori wrote a formulation and described it in a video, which turned out to be a lot simpler than what most papers described. Muratori has written a blog post about it here, where the video is also included:  https://caseymuratori.com/blog_0003 Despite being inspired by this and by the lecture on collision detection today, I realize that this algorithm probably is not very fitting for my simulation. I will instead implement a simple ray-triangle intersection test. The metaballs (i.e. the center point of each ball) move, and define rays in the direction they move, originating in their position. If their new position is on the opposite end of a triangle in t...
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Project specification

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And so, the project begins. As any good project, the first thing it consists of is a good specification, so here is the preliminary project specification, which was approved by Christopher Peters, the course examiner. Note that the style of the specification is different from the style of the blog, and might look downright strange in some places since it was copied and pasted from a separate document, and Blogger is a pretty bad service. Metaball water simulation in Unity Project specification, DH2323 Computer Graphics and Interaction 2020-04-02 Anders Steen ( astee@kth.se ) Grade ambition: A 1 Background Fluid simulation is a computationally difficult task, and there are multiple different approaches to creating such simulations [1]. Different contexts call for different requirements that are put on the results of the fluid simulation, some contexts require high physical accuracy, while others require plausibility as well as real time performance [1]....
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