It isn't just a case of deep learning vs stereo geometry, you can have many cameras informing/improving depth analysis.
I've been out of the loop for while, but I'd be mind-blown if people were happy to rely on deep learning for depth reconstructions in domains like...self-driving vehicles, versus provably accurate, fault tolerant systems with multiple cameras + geometry.
And what are the hardware requirements typically like for DNN with high resolution images for real time reconstruction? Are we well past the stage where it's real time and accurate?
I've been out of the loop for while, but I'd be mind-blown if people were happy to rely on deep learning for depth reconstructions in domains like...self-driving vehicles, versus provably accurate, fault tolerant systems with multiple cameras + geometry.
And what are the hardware requirements typically like for DNN with high resolution images for real time reconstruction? Are we well past the stage where it's real time and accurate?