US 11,790,276 B2
Virtual object machine learning
Xuehan Xiong, Los Angeles, CA (US); and Zehao Xue, Los Angeles, CA (US)
Assigned to Snap Inc., Santa Monica, CA (US)
Filed by Snap Inc., Santa Monica, CA (US)
Filed on May 17, 2021, as Appl. No. 17/322,609.
Application 17/322,609 is a continuation of application No. 16/777,098, filed on Jan. 30, 2020, granted, now 11,030,454.
Application 16/777,098 is a continuation of application No. 15/653,186, filed on Jul. 18, 2017, granted, now 10,579,869.
Prior Publication US 2021/0271874 A1, Sep. 2, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 17/20 (2006.01); G06N 20/10 (2019.01); G06N 20/00 (2019.01); G06V 20/80 (2022.01); G06V 10/772 (2022.01); G06V 20/10 (2022.01); G06V 40/10 (2022.01)
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)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
storing, on a user device, a convolutional neural network trained to detect different gestures of an object, the convolutional neural network trained on a plurality of images generated from a three-dimensional model of the object, each of the plurality of images depicting the three-dimensional model of the object with a skin texture in a different gesture;
identifying an image depicting a physical object;
classifying, using the convolutional neural network, the physical object as being in a gesture by applying the convolution neural network to the image depicting the physical object;
identifying, by one or more processors of the user device, additional content that is associated with the identified gesture; and
storing the additional content on the user device.