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:
Oct. 15, 2019

Filed:

Nov. 30, 2015
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Kongqiao Wang, Shenzhen, CN;

Jiangwei Li, Beijing, CN;

Congchao Zhu, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/33 (2017.01); H04N 5/225 (2006.01); H04N 5/232 (2006.01); G06K 9/62 (2006.01); H04N 5/247 (2006.01); G06T 7/55 (2017.01); H04N 5/265 (2006.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 7/174 (2017.01); H04N 5/235 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06T 7/33 (2017.01); G06K 9/6202 (2013.01); G06K 9/6211 (2013.01); G06K 9/6215 (2013.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/194 (2017.01); G06T 7/55 (2017.01); H04N 5/2258 (2013.01); H04N 5/23229 (2013.01); H04N 5/247 (2013.01); H04N 5/265 (2013.01); G06K 9/00201 (2013.01); G06K 9/4671 (2013.01); G06T 2207/10012 (2013.01); H04N 5/2355 (2013.01); H04N 5/23232 (2013.01);
Abstract

Obtaining a first set including key point descriptors in a first image that is of a to-be-shot scene and that is formed by using a first camera in a dual camera system, and a second set including key point descriptors in a second image that is of the to-be-shot scene and that is formed by using a second; pairing a key point in the first set and a key point in the second set that match each other to form a key point pair; selecting the key point pair that meets a predetermined condition; generating an image alignment vector field according to the selected key point pair; and estimating an occlusion area according to the depth information of the first image and the second image, and eliminating an alignment vector of the occlusion area in the image alignment vector field, to form a corrected image alignment vector field.


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