Machine learning systems and methods for augmenting images
2020
Patent
ps
Disclosed is a method including receiving visual input comprising a human within a scene, detecting a pose associated with the human using a trained machine learning model that detects human poses to yield a first output, estimating a shape (and optionally a motion) associated with the human using a trained machine learning model associated that detects shape (and optionally motion) to yield a second output, recognizing the scene associated with the visual input using a trained convolutional neural network which determines information about the human and other objects in the scene to yield a third output, and augmenting reality within the scene by leveraging one or more of the first output, the second output, and the third output to place 2D and/or 3D graphics in the scene.
Author(s): | Black, M. and Rachlin, E. and Lee, E. and Heron, N. and Loper, M. and Weiss, A. and Smith, D. |
Number (issue): | US Patent 10,529,137 B1 |
Year: | 2020 |
Month: | January |
Day: | 7 |
Department(s): | Perceiving Systems |
Bibtex Type: | Patent (patent) |
Paper Type: | Patent |
BibTex @patent{Black:Augmentation:2020, title = {Machine learning systems and methods for augmenting images}, author = {Black, M. and Rachlin, E. and Lee, E. and Heron, N. and Loper, M. and Weiss, A. and Smith, D.}, number = {US Patent 10,529,137 B1}, month = jan, year = {2020}, doi = {}, month_numeric = {1} } |