CPC G06N 20/10 (2019.01) [G06N 20/00 (2019.01); G06T 17/20 (2013.01); G06V 10/772 (2022.01); G06V 20/10 (2022.01); G06V 20/80 (2022.01); G06V 40/103 (2022.01); G06V 40/107 (2022.01)] | 18 Claims |
1. A method comprising:
storing, on a device, a convolutional neural network trained to detect different gestures of different objects, the convolutional neural network trained on a plurality of images generated from three-dimensional models of the different objects, each of the plurality of images depicting a three-dimensional model of one of the different objects in a combination of the different gestures, textures, and three-dimensional environments, wherein the textures comprise a skin shade texture;
identifying an image depicting a physical object; and
classifying, using the convolutional neural network operating on one or more processors of the device, the physical object as being in a gesture from the different gestures of the different objects by applying the convolutional neural network to the image depicting the physical object.
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