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:
Feb. 15, 2022

Filed:

Oct. 20, 2020
Applicant:

Sony Interactive Entertainment Inc., Tokyo, JP;

Inventors:

Timothy Bradley, London, GB;

Fabio Cappello, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2011.01); G06T 15/20 (2011.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 19/00 (2011.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 15/20 (2013.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 19/006 (2013.01); G06T 19/20 (2013.01); G06T 2200/08 (2013.01); G06T 2219/2016 (2013.01);
Abstract

A method of obtaining real world scale information for a scene includes obtaining at least one image of a plurality of objects in a scene; detecting at least some of the objects in the at least one image as corresponding to pre-determined objects; generating a 3D reconstruction of the scene based on the image content of the at least one image; determining a relative size of each object in the 3D reconstruction of the scene in at least one dimension, the relative size being defined in dimensions of the generated 3D reconstruction; where the relative size of each object is determined based on a distance between at least two points corresponding to that object as transformed into 3D space; obtaining a size probability distribution function for each object detected in the at least one image, each size probability distribution function defining a range of sizes in at least one dimension that a corresponding object is likely to possess in real world units; resealing the size probability distribution function for each detected object based on a corresponding relative size of that object in the 3D reconstruction; and estimating a geometry of the scene in real world units by combining the re-scaled probability distribution function for at least one detected object with the re-scaled probability distribution function for at least one other detected object.


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