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:
Apr. 05, 2022

Filed:

Nov. 03, 2020
Applicant:

Autodesk, Inc., San Rafael, CA (US);

Inventors:

Oytun Akman, Kensington, CA (US);

Ronald Poelman, San Rafael, CA (US);

Yan Fu, San Carlos, CA (US);

Assignee:

AUTODESK, INC., San Rafael, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/10 (2006.01); G06T 7/11 (2017.01); G06T 5/00 (2006.01); G06T 7/13 (2017.01); G06T 15/06 (2011.01); G01S 17/42 (2006.01); G01S 17/89 (2020.01); G06T 15/10 (2011.01);
U.S. Cl.
CPC ...
G06T 17/10 (2013.01); G01S 17/42 (2013.01); G01S 17/89 (2013.01); G06T 5/00 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 15/06 (2013.01); G06T 15/10 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20072 (2013.01); G06T 2210/04 (2013.01);
Abstract

A method, system, and apparatus create a 3D CAD model. Scan data from two or more structured scans of a real-world scene are acquired and each scan processed independently by segmenting the scan data into multiple segments, filtering the scan data, and fitting an initial model that is used as a model candidate. Model candidates are clustered into groups and a refined model is fit onto the model candidates in the same group. A grid of cells representing points is mapped over the refined model. Each of the grid cells is labeled by processing each scan independently, labeling each cell located within the refined model as occupied, utilizing back projection to label remaining cells as occluded or empty. The labels from multiple scans are then combined. Based on the labeling, model details are extracted to further define and complete the refined model.


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