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. 29, 2023

Filed:

Oct. 18, 2021
Applicant:

Meta Platforms Technologies, Llc, Menlo Park, CA (US);

Inventors:

Michael Hall, Bellevue, WA (US);

Xinqiao Liu, Medina, WA (US);

Zhaoming Zhu, Redmond, WA (US);

Rajesh Lachhmandas Chhabria, San Jose, CA (US);

Huixuan Tang, Redmond, WA (US);

Shuochen Su, Seattle, WA (US);

Zihe Gao, Redmond, WA (US);

Assignee:

Meta Platforms Technologies, LLC, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/521 (2017.01); G01B 11/22 (2006.01); G01B 11/25 (2006.01); G06T 7/529 (2017.01); G02B 27/01 (2006.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/55 (2017.01); G06T 7/00 (2017.01); G06T 7/90 (2017.01); H04N 13/106 (2018.01); H04N 13/204 (2018.01); G06T 7/593 (2017.01); H04N 13/128 (2018.01); H04N 13/271 (2018.01); H04N 13/239 (2018.01); H04N 23/56 (2023.01); G06V 10/22 (2022.01); G06V 10/145 (2022.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
G01B 11/2513 (2013.01); G01B 11/22 (2013.01); G02B 27/0172 (2013.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/521 (2017.01); G06T 7/529 (2017.01); G06T 7/55 (2017.01); G06T 7/593 (2017.01); G06T 7/90 (2017.01); G06T 7/97 (2017.01); G06V 10/145 (2022.01); G06V 10/22 (2022.01); H04N 13/106 (2018.05); H04N 13/128 (2018.05); H04N 13/204 (2018.05); H04N 13/239 (2018.05); H04N 13/271 (2018.05); H04N 23/56 (2023.01); G02B 2027/014 (2013.01); G02B 2027/0138 (2013.01); G02B 2027/0178 (2013.01); G06T 2207/10028 (2013.01); H04N 2013/0081 (2013.01);
Abstract

A depth camera assembly (DCA) determines depth information. The DCA projects a dynamic structured light pattern into a local area and captures images including a portion of the dynamic structured light pattern. The DCA determines regions of interest in which it may be beneficial to increase or decrease an amount of texture added to the region of interest using the dynamic structured light pattern. For example, the DCA may identify the regions of interest based on contrast values calculated using a contrast algorithm, or based on the parameters received from a mapping server including a virtual model of the local area. The DCA may selectively increase or decrease an amount of texture added by the dynamic structured light pattern in portions of the local area. By selectively controlling portions of the dynamic structured light pattern, the DCA may decrease power consumption and/or increase the accuracy of depth sensing measurements.


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