alt Hacker News>Tracking is needed for mapping, not the other way around.
The term tracking is being used twice. The tracking data that OpenXR exposes comes from SLAM. SLAM is done doing sensor fusion including signals that come from tracking points.
>And it's definitely not needed for what they show in the video
The video shows 6 dof tracking which for a production implementation would do SLAM tracking.
>for associating things that go out of view and then come back
Having memory of what existed before implies you have a form of a map. You also want a map to be able to match together the views of the multiple cameras.
>Please don't shift goalposts.
The claim I am referring to is, "6DoF with spatial anchoring on a device this small and compute constrained is hard for any company to build, let alone Pickle."
> The video shows 6 dof tracking which for a production implementation would do SLAM tracking.
SLAM is not required to do what is shown in the video. As is an IMU. And an IMU is also not required for SLAM. Everything about the blog post is factually wrong.
> Having memory of what existed before implies you have a form of a map
Once again, you're just wrong here. Image feature correspondence works even without any spatial mapping. Once again, you're getting things backwards. You need to find correspondences before you can begin to make a map, not the other way around!
Anyway, I don't have the energy to argue more with someone who confidently doesn't actually know what they're talking about. So, good luck, have fun.