CPC H04N 13/246 (2018.05) [G06F 18/22 (2023.01); G06N 3/084 (2013.01); G06T 7/70 (2017.01); G06T 7/85 (2017.01); G06V 20/10 (2022.01); H04N 13/271 (2018.05); G06T 2207/10012 (2013.01); G06T 2207/20224 (2013.01)] | 20 Claims |
1. A method comprising:
receiving, from a multiscopic image capture system, two or more images depicting a scene;
determining, based on the two or more images and using a neural network comprising a plurality of layers, a disparity map of the scene;
identifying a recalibration trigger, wherein identifying the recalibration trigger comprises determining that the multiscopic image capture system is facing a recalibration target; and
based on identifying the recalibration trigger, (i) determining an error of the disparity map based on values of pixels of the disparity map and (ii) back-propagating the error to one or more layers of the plurality of layers of the neural network, wherein back-propagating the error comprises updating one or more weights applied to the one or more layers.
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