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. 21, 2024

Filed:

Jun. 04, 2019
Applicant:

Sony Corporation, Tokyo, JP;

Inventors:

Nobuhiro Tsunashima, Tokyo, JP;

Noribumi Shibayama, Kanagawa, JP;

Assignee:

SONY CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/593 (2017.01); G06T 7/246 (2017.01);
U.S. Cl.
CPC ...
G06T 7/593 (2017.01); G06T 7/246 (2017.01); G06T 2207/10012 (2013.01); G06T 2207/20081 (2013.01);
Abstract

An object detection processing sectiondetects an object region, using at least one of multiple viewpoint images (e.g., left-viewpoint image) with different viewpoint positions on the basis of information learned through prior learning. A distance measuring sectionperforms ellipse fitting on the object region detected by the object detection processing sectionto set a distance measurement point arrangement region, and sets multiple distance measurement points in the distance measurement point arrangement region. The distance measuring sectionperforms a stereo matching process using the multiple viewpoint images to calculate a parallax with sub-pixel accuracy for each of the distance measurement points corresponding to the object indicated by an image of the object region and, on the basis of the calculated parallaxes, generates distance measurement information regarding the object. Thus, the distance measurement information regarding the object can be generated without elongating a baseline distance between imaging sections that acquire the multiple viewpoint images with different viewpoint positions to such an extent that the object can be distinguished from the background.


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