Comment by RivieraKid
12 hours ago
After skimming the article I don't understand what the Large Geospatial Model is supposed to be, what it can be used for.
12 hours ago
After skimming the article I don't understand what the Large Geospatial Model is supposed to be, what it can be used for.
A part of me likes this. Every now and then, isn’t it nice to pursue something and just see where it goes, without a monetization strategy or similar?
They have a "VPS" which extracts keypoints from an image and matches them against a 3d pointcloud. Using trigonometry you can work out the 3d position of the camera by matching the keypoints from the image to the keypoints in the point cloud.
What is different is that they are proposing to make a large ML model to do all of the matching, rather than having a database and some matching algorithm.
Will it work? probably, will it scale? I'm not that hopeful, but then I was wrong about LLMs.
According to their website :
Neural mapping. Taking 5 minutes to build a scene in space.
Relocalization estimating camera pose from a single image.
https://nianticlabs.com/news/largegeospatialmodel?hl=en
It looks pretty cool. I imagine it could be a game changer in wearable devices that want to use position like AR.
Intelligence gathering is also another one. Being able to tell where someone is based on a Picture is a huge one. Not just limited to outdoors but presumably indoors as well. Crazy stuff