The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 24, 2021

Filed:

Sep. 12, 2017
Applicant:

Niantic, Inc., San Francisco, CA (US);

Inventors:

Clément Godard, San Francisco, CA (US);

Oisin MacAodha, Pasadena, CA (US);

Gabriel Brostow, London, GB;

Assignee:

Niantic, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06T 7/593 (2017.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06F 17/16 (2006.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 17/16 (2013.01); G06K 9/6274 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06T 3/4007 (2013.01); G06T 7/593 (2017.01); G06T 2207/10012 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods are described for predicting depth from colour image data using a statistical model such as a convolutional neural network (CNN), The model is trained on binocular stereo pairs of images, enabling depth data to be predicted from a single source colour image. The model is trained to predict, for each image of an input binocular stereo pair, corresponding disparity values that enable reconstruction of another image when applied, to the image. The model is updated based on a cost function that enforces consistency between the predicted disparity values for each image in the stereo pair.


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