pm_me_your_pay_slips t1_iy2twej wrote
Reply to comment by mg31415 in [R] QUALCOMM demos 3D reconstruction on AR glasses — monocular depth estimation with self supervised neural network processed on glasses and smartphone in realtime by SpatialComputing
You need to do feature computation and find correspondences. If you’re using a learned feature extractor, that will be twice as expensive as the monocular model. But let’s say you’re using a classical feature extractor. You still need to do feature matching. For dense depth maps, both of these stages can be as expensive, if not more, than a single forward pass through a highly optimized mobile NN architecture.
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