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:
Sep. 24, 2019

Filed:

Jun. 09, 2017
Applicant:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Iro Armeni, Stanford, CA (US);

Ozan Sener, Stanford, CA (US);

Amir R. Zamir, Stanford, CA (US);

Martin Fischer, Stanford, CA (US);

Silvio Savarese, Stanford, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/11 (2017.01); G06T 7/162 (2017.01); G06K 9/42 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06T 11/20 (2006.01); G06T 7/187 (2017.01); G01C 21/32 (2006.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G01C 21/32 (2013.01); G06K 9/42 (2013.01); G06K 9/4642 (2013.01); G06K 9/6285 (2013.01); G06T 7/162 (2017.01); G06T 7/187 (2017.01); G06T 11/206 (2013.01); G06T 19/00 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20221 (2013.01); G06T 2210/04 (2013.01); G06T 2210/56 (2013.01);
Abstract

Systems and methods for performing three-dimensional semantic parsing of indoor spaces in accordance with embodiments of the invention are disclosed. In one embodiment, a method includes receiving input data representing a three-dimensional space, determining disjointed spaces within the received data by generating a density histogram on each of a plurality of axes, determining space dividers based on the generated density histogram, and dividing the point cloud data into segments based on the determined space dividers, and determining elements in the disjointed spaces by aligning the disjointed spaces within the point cloud data along similar axes to create aligned versions of the disjointed spaces normalizing the aligned version of the disjointed spaces into the aligned version of the disjointed spaces, determining features in the disjointed spaces, generating at least one detection score, and filtering the at least one detection score to determine a final set of determined elements.


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