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:
Jul. 18, 2023

Filed:

Apr. 14, 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);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01B 11/25 (2006.01); G06T 7/521 (2017.01); G06T 7/529 (2017.01); G02B 27/01 (2006.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G01B 11/22 (2006.01); G06T 7/55 (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 estimation system is described capable of determining depth information using two images from two cameras. A first camera captures a first image and a second camera captures a second image, both images including a plurality of light channels. A scan direction is selected from a plurality of scan directions. For the selected scan direction, along each of a plurality of scanlines, the system compares pixels from the first image to pixels from the second image. The comparison is based on calculating a census transform for each pixel in the first image and a census transform for each pixel in the second image. This comparison is used to determine a stereo correspondence between the pixels in the first image and the pixels in the second image. The system generates a depth map based on the stereo correspondence.


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