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. 16, 2024

Filed:

Aug. 16, 2019
Applicant:

Siemens Industry Software NV, Leuven, BE;

Inventors:

Ahmet Bilgili, The Hague, NL;

Serkan Ergun, The Hague, NL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 23/80 (2023.01); G06N 3/04 (2023.01); G06T 15/50 (2011.01); H04N 9/77 (2006.01); H04N 23/12 (2023.01);
U.S. Cl.
CPC ...
H04N 9/77 (2013.01); G06N 3/04 (2013.01); G06T 15/506 (2013.01); H04N 23/12 (2023.01);
Abstract

A method for retrieval of multi spectral bidirectional reflectance distribution function (BRDF) parameters by using red-green-blue-depth (RGB-D) data includes capturing, by an RGB-D camera, at least one image of one or more objects in a scene. The captured at least one image of the one or more objects includes RGB-D data including color and geometry information of the objects. A processing unit reconstructs the captured at least one image of the one or more objects to one or more 3D reconstructions by using the RGB-D data. A deep neural network classifies the BRDF of a surface of the one or more objects based on the 3D reconstructions. The deep neural network includes an input layer, an output layer, and at least one hidden layer between the input layer and the output layer. The multi spectral BRDF parameters are retrieved by approximating the classified BRDF by using an iterative optimization method.


Find Patent Forward Citations

Loading…