Snap Inc.
Virtual object machine learning
Last updated:
Abstract:
A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).
Status:
Grant
Type:
Utility
Filling date:
18 Jul 2017
Issue date:
3 Mar 2020