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:
Nov. 02, 2021

Filed:

Oct. 04, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Edward T. Chang, Saratoga, CA (US);

Mykhaylo Kurinnyy, Milpitas, CA (US);

Zhaowei Wang, Sunnyvale, CA (US);

Jonathan James Taylor, San Francisco, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/80 (2017.01); G06T 7/73 (2017.01); H04N 13/239 (2018.01); H04N 13/254 (2018.01);
U.S. Cl.
CPC ...
G06T 7/85 (2017.01); G06T 7/74 (2017.01); H04N 13/239 (2018.05); H04N 13/254 (2018.05); G06T 2207/10012 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/30204 (2013.01); G06T 2207/30244 (2013.01);
Abstract

This document describes techniques and systems that enable autocalibration for multiple cameras using near-infrared (NIR) illuminators. The techniques and systems include a user device that uses NIR images, including dot images and flood images, captured by the multiple cameras. The user device implements an autocalibration module that normalizes the contrast of each image. Then, the autocalibration module detects dot features in the dot images and detects flood features in the flood images. The autocalibration module uses the flood features to disambiguate the dot features in the dot images. Then, the autocalibration module uses the disambiguated dot features to determine new calibration parameters for recalibration of the multiple cameras. In some aspects, the autocalibration module uses the dot images, rather than the flood images, to detect the flood features for disambiguating the dot features.


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