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:
Jun. 25, 2024

Filed:

Apr. 07, 2022
Applicant:

Bentley Systems, Incorporated, Exton, PA (US);

Inventors:

Alexandrina Orzan, Nice, FR;

Hugo Lavezac, Villeneuve-loubet, FR;

Prince Ngattai Lam, Paris, FR;

Luc Robert, Valbonne, FR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/04 (2011.01); G06T 3/40 (2006.01); G06T 7/90 (2017.01);
U.S. Cl.
CPC ...
G06T 15/04 (2013.01); G06T 3/40 (2013.01); G06T 7/90 (2017.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Techniques are provided for modifying coloring of images utilizing machine learning. A trained model is generated utilizing machine learning with training data that includes images of a plurality of different scenes with different illumination characteristics. New original images of a scene may each be downsampled and transformed to a corresponding output image utilizing the trained model. A color transformation from each original image to its corresponding output image may be determined. In an embodiment, the color transformation is determined utilizing a spline fitting approach. The determined color transformations may be applied to each of the original images to generate corrected images. Specifically, the color transformation that is applied to a particular original image is the color transformation determined for the input image that corresponds to the particular original image. The corrected images are utilized to generate a digital model of the scene, and the digital model has accurate model texture.


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