Brian E Price

US Patent:

20180357789, Dec 13, 2018

Filed:

Aug 7, 2018

Appl. No.:

16/057161

Inventors:

- San Jose CA, US
Yu-Wei Chao - Ann Arbor MI, US
Scott Cohen - Sunnyvale CA, US
Brian Price - San Jose CA, US

International Classification:

G06T 7/73
G06K 9/46
G06K 9/62
G06K 9/00

Abstract:

A forecasting neural network receives data and extracts features from the data. A recurrent neural network included in the forecasting neural network provides forecasted features based on the extracted features. In an embodiment, the forecasting neural network receives an image, and features of the image are extracted. The recurrent neural network forecasts features based on the extracted features, and pose is forecasted based on the forecasted features. Additionally or alternatively, additional poses are forecasted based on additional forecasted features.

US Patent:

20180293738, Oct 11, 2018

Filed:

Apr 7, 2017

Appl. No.:

15/481564

Inventors:

- San Jose CA, US
Yu-Wei Chao - Ann Arbor MI, US
Scott Cohen - Sunnyvale CA, US
Brian Price - San Jose CA, US

International Classification:

G06T 7/246
G06N 3/04
G06N 5/04

Abstract:

A forecasting neural network receives data and extracts features from the data. A recurrent neural network included in the forecasting neural network provides forecasted features based on the extracted features. In an embodiment, the forecasting neural network receives an image, and features of the image are extracted. The recurrent neural network forecasts features based on the extracted features, and pose is forecasted based on the forecasted features. Additionally or alternatively, additional poses are forecasted based on additional forecasted features.