Depth and motion estimations in machine learning environments
AssigneeIntel Corporation
InventorsKOBA NATROSHVILI, KAY-ULRICH SCHOLL
Life of this patent
Estimating the term…
Abstract
A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.
Claims20
At least one computer-readable medium comprising instructions which, when executed, cause a computing device to perform operations comprising:
- receiving a frame associated with a scene;
- predicating values associated with multiple loss functions corresponding to the frame;
- and
- estimating one or more of depth or motion based on the predicted values.
A method comprising:
- receiving a frame associated with a scene;
- predicating values associated with multiple loss functions corresponding to the frame;
- and
- estimating one or more of depth or motion based on the predicted values.
An apparatus comprising:
- one or more processors to:
- receive a frame associated with a scene;
- predicating values associated with multiple loss functions corresponding to the frame;
- and
- estimate one or more of depth or motion based on the predicted values.
Dependencies are inferred from the claim text.