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:
May. 06, 2025

Filed:

Feb. 25, 2022
Applicant:

Tencent Technology (Shenzhen) Company Limited, Guangdong, CN;

Inventors:

Yonggen Ling, Guangdong, CN;

Wanchao Chi, Guangdong, CN;

Chong Zhang, Guangdong, CN;

Shenghao Zhang, Guangdong, CN;

Zhengyou Zhang, Guangdong, CN;

Zejian Yuan, Guangdong, CN;

Ang Li, Guangdong, CN;

Zidong Cao, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2016.12); G05D 1/00 (2023.12); G06T 3/40 (2023.12); G06T 7/521 (2016.12);
U.S. Cl.
CPC ...
G06T 7/55 (2016.12); G05D 1/0248 (2012.12); G06T 3/40 (2012.12); G06T 7/521 (2016.12); G06T 2207/10024 (2012.12); G06T 2207/10028 (2012.12); G06T 2207/20016 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/20221 (2012.12); G06T 2207/30252 (2012.12);
Abstract

A method of depth map completion is described. A color map and a sparse depth map of a target scenario can be received. Resolutions of the color map and the sparse depth map are adjusted to generate n pairs of color maps and sparse depth maps of n different resolutions. The n pairs of color maps and the sparse depth maps can be processed to generate n prediction result maps using a cascade hourglass network including n levels of hourglass networks. Each of the n pair is input to a respective one of the n levels to generate the respective one of the n prediction result maps. The n prediction result maps each include a dense depth map of the same resolution as the corresponding pair. A final dense depth map of the target scenario can be generated according to the dense depth maps.


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