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Basically when you don't want to spend time to pre-process e.g. through traditional photogrammetry. So near-real-time events, or where there's huge amounts of p
by twelvechairs 2y ago
Basically when you don't want to spend time to pre-process e.g. through traditional photogrammetry. So near-real-time events, or where there's huge amounts of pointcloud capture and comparatively little visualisation
Edit: others are mentioning real estate I'd think that will prefer some pre processing but ymmv
- tomp 2y agoNot really. First if all, most GS take posed images as input, so you need to run a traditional photogrammetry pipeline (COLMAP) anyways. The purpose of GS is that the result is far beyond anything that traditional photogrammetry (dense mesh reconstruction) can manage, especially when it comes to “weird” stuff (semi-transparent objects).