Maybe you could use this for when there are "enough" features, and keep using the manual method for the remaining situations. I'd have to take a look at the images to have a better idea of what you are dealing with.
The main issue is that the thermal camera we're using is only a few hundred pixels tall/wide, so using it for feature detection was rough when we did try that for something. For our purposes, with cameras on a solid mount, the hardcoded transformation matrix is good enough, but I think if you had better cameras and more time/more compute power, something like this could be better.
A bigger issue is that the project is running on a Pi, so just getting the image alignment running along with our face detection wouldve also been a pretty tall task if we want to stay at around ~5fps.
Cool! I'm planning on using image alignment for enhancing the spatial resolution of hyperspectral (HS) images, through the fusion of RGB and HS images.
You can use an high-resolution panchromatic image to increase the spatial resolution of an RGB image. Here the objective is to do the apply the same idea but using an RGB and HS image, increasing the spatial resolution of the latter.
Thanks for mentioning, glad to see counter popping up organically ;-)
I'd say what differs us from others is aiming at providing user value for free by aggressively optimizing hosting costs. But you don't need to care about that, it looks great and works and is free. For way over a year now. Cheers
The main downside of custom web fonts isn’t the licensing but having to download those fonts to render the page. There are ways to optimize font loading [1] but it can still lead to delay in rendering or font swaps.
It looks like ET-Tufte has already considered and tried to mitigate this downside. [2]
