In pinhole cameras, straight lines look straight. That's what a regular projection matrix gives you with rasterization.
With non-pinhole cameras, straight lines look curved. You can't rasterize this directly. 3D Gaussian splats have an issue with this, addressed by methods like ray tracing.
It's very useful to train on non-pinhole cameras, because in real world they can capture a wider field of view.
In Gaussian Splatting, a first order approximation takes ellipsoids in camera space to ellipses in image space. This works ok for pigeonhole cameras where straight lines remain straight and more generally conic sections are taken to other conic sections. For high distortion models like fisheye, this approximation probably breaks. However this method presumably does not rely on approximation since it is ray traced.
looks like it’s some sort of fisheye camera with a super wide fov. it might be simulating rays bending due to lens effects. a pinhole camera could just look “normal” ie straight lines stay straight (except for horizon convergence perspective effects)
> This algorithm is much more efficient than typical ray tracing acceleration methods that rely on hierarchical acceleration structures with logarithmic query complexity.
!?
This is a wild claim to just slip in. Can anyone expand?
It's faster because there are only a constant number of other faces in a given cell to check to find where the ray exits. Then you can just traverse from cell to cell in this way, without using hierarchical bounding box checks like you normally would.
TBH only one author out of four has a Google affiliation, and their personal webpage [1] says "part-time (20%) staff research scientist at Google DeepMind", so it's a stretch to call this a "Google technique". I notice that this is a common thing when discussing research paper, people associate it with the first company name they can find in the affiliations
Pure conjecture: relighting in Pixel phones. I don't think they have too many AR-like products. I'm surprised so much of this research is coming out of Google and not Meta.
I'm a little surprised Google hasn't included lidar into their Pixel phones (even after including and dropping some oddball stuff like Soli) to support some of these radiance field / photogrammetry techniques. I guess the <2.5% market share of Pixel phones wouldn't encourage any third parties with bothering to develop for lidar on Android.
I have no idea, but given their stock of pictures of the entire earth (via google maps), I have some ideas about what I HOPE they would use this tech for.
And Google Maps/Google Earth have a long history of trying to create 3d views using all kinds of techniques, from manual modeling to radar satellite data.
