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. 25, 2020

Filed:

Jul. 13, 2016
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Gershom Kutliroff, Alon Shvut, IL;

Shahar Fleishman, Hod Hasharon, IL;

Mark Kliger, Modi'in-Macabim-Reut, IL;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/60 (2017.01); G06T 17/00 (2006.01); G06T 9/00 (2006.01); H04N 13/128 (2018.01); H04N 13/257 (2018.01); G06T 11/60 (2006.01); G06T 7/33 (2017.01); G06T 7/90 (2017.01); G06T 7/50 (2017.01); G06K 9/00 (2006.01); H04N 13/271 (2018.01); H04N 13/111 (2018.01);
U.S. Cl.
CPC ...
G06T 7/60 (2013.01); G06K 9/00671 (2013.01); G06T 7/33 (2017.01); G06T 7/50 (2017.01); G06T 7/90 (2017.01); G06T 11/60 (2013.01); G06T 17/00 (2013.01); H04N 13/128 (2018.05); H04N 13/257 (2018.05); G06T 2207/20021 (2013.01); G06T 2207/20048 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30244 (2013.01); G06T 2210/56 (2013.01); H04N 13/111 (2018.05); H04N 13/271 (2018.05);
Abstract

Techniques are provided for context-based 3D scene reconstruction employing fusion of multiple instances of an object within the scene. A methodology implementing the techniques according to an embodiment includes receiving 3D image frames of the scene, each frame associated with a pose of a depth camera, and creating a 3D reconstruction of the scene based on depth pixels that are projected and accumulated into a global coordinate system. The method may also include detecting objects, based on the 3D reconstruction, the camera pose and the image frames. The method may further include classifying the detected objects into one or more object classes; grouping two or more instances of objects in one of the object classes based on a measure of similarity of features between the object instances; and combining point clouds associated with each of the grouped object instances to generate a fused object.


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