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:

Dec. 10, 2021
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventor:

Dong Zhou, San Jose, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/128 (2018.01); H04N 13/239 (2018.01); G06T 5/00 (2006.01); G06T 5/50 (2006.01); G06V 20/40 (2022.01); G06V 20/64 (2022.01); G06F 18/00 (2023.01); H04N 23/68 (2023.01); H04N 13/25 (2018.01); H04N 5/265 (2006.01); G06V 30/142 (2022.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06F 18/00 (2023.01); G06T 5/50 (2013.01); G06V 20/46 (2022.01); G06V 20/64 (2022.01); H04N 5/265 (2013.01); H04N 13/128 (2018.05); H04N 13/239 (2018.05); H04N 13/25 (2018.05); H04N 23/68 (2023.01); H04N 23/682 (2023.01); H04N 23/683 (2023.01); H04N 23/6812 (2023.01); G06T 2207/10021 (2013.01); G06T 2207/30201 (2013.01); G06V 30/142 (2022.01); H04N 2013/0081 (2013.01);
Abstract

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.


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