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That is completely wrong. For foveated rendering one could easily build dedicate hardware into the device which would require almost no additional power. And t
by LordHeini 4y ago
That is completely wrong.
For foveated rendering one could easily build dedicate hardware into the device which would require almost no additional power.
And those algorithms are not that expensive to begin with.
Every camera has face tracking build in (which basically is the same problem) and that does not drain the battery either.
And why should northern Europeans eyes work differently?
Even if that would be true one could add a bunch of settings for personalisation.
Eye distance for example is a common setting on dodays devices...
- blululu 4y agoEye trackers typically require 2-4 additional cameras trained on the eyes. The algorithms for eye tracking are typically pretty involved, but maybe you know some very lower power algorithm to track the eye at 120 hz? I'm not sure how dedicated hardware will reduce the power consumption for 2 cameras and an ML pipeline to almost nothing. Northern Europeans have very light irises. It makes it easier to track the pupil from a single signal-to-noise perspective. But there are a ton of weird ethnic challenges for eye tracking. Things like reflectivity and moisture of eyes varies a lot across different across different ethnic groups. Personalization add complexity and will only take you so far when you are dealing with physical sensing challenges.
- deleted 4y ago[deleted]