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I've been working on some projects in Rust relating to image processing and rendering. I'm between a few projects at the moment though but the biggest one is an image processing application I've been working on for quite some time. A lot of stuff I've programmed and learned about over the last 3 years has been leading up to the goal of making something like this haha. I wanted to leverage OpenCL for compute but I had a lot of trouble getting OpenGL OpenCL interoperability to work.

A big motivation for such a project is my passion for photography. I've taken many thousands of photos over just the last 2 years alone. A lot of them are digital, and so far a few dozen rolls of film. A big challenge for me is that I'm not satisfied with the tools available to develop the raw files that are free or open source. Either they're quite finnicky, or they have noticeable issues with color transformations.

I've done a lot of rendering projects over the last few years relating to color that have been focused on getting a better understanding of working with color spaces. Lots of 2D and 3D fractals haha.

Unfortunately I've had quite a turbulent life the last few years so development is very off/on. Every autumn for me seems to be a period of change, this one no different as I'm moving and I'm a bit uncertain of things. However, a side project to all of this has been an OpenGL project where I'm working on things related to voxels! I did a lot of research on data structures like interval trees, octrees, segment trees, etc. It does seem that a lot of people jump for the octree approach, however I've been able to render a lot of voxels with just a hashmap of chunks and a 3d array haha (albeit, mostly initial implementation of chunk generation, single threaded at that!). With this I'm hoping to explore OpenGL compute as I intend of generating world geometry in compute shaders :D

I havent published a project in a while and I'm hoping to get back to putting things out there, so hopefully some of the stuff I've been working on goes well and I can put it up on GitHub or something



When you say "develop" a raw file, do you mean convert it to a viewable colour space, given a known screen? Like HDR or some other type of choosing the exposure/gain?

Re: 3D, are you aiming to infer a 3D scene from a single photo? There's a few approaches for that, but they tend to show off the examples that work well, and conveniently avoid examples that work poorly. But depending on the content of your photos, you might find an algorithm that works out of the box.

For data representation, we used a sparse voxel representation of a Truncated Signed Distance Function to represent surfaces for this project: https://www.microsoft.com/en-us/research/project/kinectfusio... However, I can't recall interacting with the sparseness; that level of abstraction may have already been resolved in the code by the time I got on that projects. TSDFs are cool as hell and way more interesting than representing ambiguous surfaces with mesh triangles.

Also, I've been there with the turbulence a couple times. Sometimes months happen in a day and vice versa ;)




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