3 ms·
True, but if you're going for frontend ML, which is effectively a black box anyway, you might as well have some non-human-understandable bits in the optics and
by londons_explore 2y ago
True, but if you're going for frontend ML, which is effectively a black box anyway, you might as well have some non-human-understandable bits in the optics and hardware too.
Various designs for microlens arrays do similar things - thousands of of 0.001 megapixel images from slightly different angles are fairly useless for most human uses, but to AI it could be a very powerful way to get depth info, cut the camera thickness by 10x, and have infinite depth of focus.
- 0_____0 2y agonot sure how you took the idea "we want wide and narrow views of the same perspective" and thought building a light field camera might be a practical approach
- mikewarot 2y agoWhile it is possible to build a consumer lightfield camera (Lytro was one example), they aren't as magical as you might think until you get much larger lens sizes than people are going to tolerate to get appreciable zoom range. I did a bunch of manual creation of light-field photos over the years.[1] To get interesting compositions, you need an effective lens diameter of about 30 cm in diameter or more. To get super-resolution good enough for zoom, you're going to probably need something that size. [1] https://www.flickr.com/photos/---mike---/albums/72177720297918810/ https://www.flickr.com/photos/---mike---/albums/721777202979...
- 0_____0 2y agoNot disputing the feasibility of light field imaging. That approach really doesn't do anything for the use case the camera Nikon/Mitsubishi are showcasing. Light field cameras have low resolution for their sensor sizes, lower optical efficiency, are expensive to manufacture, require processing that would make this a bad fit for the near-realtime ADAS functions you need for automotive machine vision, and have no advantage when it comes to favoring one part of the image in terms of angular resolution. Like, why even mention them?