Granted Patent B2

US 12,602,937 · App. 18/251,561 · Granted Apr 14, 2026

Inventors: Francis J. Groves (McMurray, PA); Kathleen M. Chrobak (Fombell, PA); William R. Wright (Pittsburgh, PA)

Assignee: THE PITTSBURGH PAINTS COMPANY

G06V20/64G06T7/90G06T11/10

Abstract

Claims (77)

1 . A computer system for dynamically parsing a digital image to identify coating surfaces, comprising:

one or more processors; and

one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform at least the following:

receive, through a network connection, a user-provided input comprising an indication of a particular environment;

receive, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects;

identify, with an image recognition module, the one or more objects within the user-provided digital image;

create a modified digital image by parsing the identified one or more objects from the user-provided digital image;

identify surfaces within the modified digital image;

identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

obtaining data about an age of a user,

accessing a color-age look-up table, wherein the color-age look-up table comprises color prevalence in association with various ages,

accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the data about the age of the user,

identifying correlations between the color-age look-up table and the digital architectural template look-up table, and

generating at least one proposed color based on the identified correlations between the color-age look-up table and the digital architectural template look-up table; and

generate a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image.

2 . The computer system of claim 1 , wherein identifying, with the image recognition module, one or more objects within the user-provided digital image comprises:

accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment; and

mapping one or more digital architectural templates from the database subset to the one or more objects within the user-provided digital image.

3 . The computer system of claim 2 , wherein the image recognition module comprises a machine learning algorithm.

4 . The computer system of claim 1 , wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

identifying at least one color of at least one of the parsed one or more objects; and

generating at least one proposed color based on the at least one identified color of at least one of the parsed one or more objects.

5 . The computer system of claim 1 , wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

identifying at least one color of at least one of the parsed one or more objects;

organizing the parsed one or more objects by a permanence attribute with respect to the particular environment; and

generating at least one proposed color based on the at least one identified colors and permanence attributes associated with the parsed one or more objects.

6 . The computer system of claim 1 , wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

obtaining geographic data about a user;

accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions; and

generating at least one proposed color based on the geographic data about the user.

7 . A computerized method for use on a computer system comprising one or more processors and one or more computer-readable media having stored thereon executable instructions that when executed by the one or more processors configure the computer system to perform a method of dynamically parsing a digital image to identify coating surfaces, the method comprising:

receiving, through a network connection, a user-provided input comprising an indication of a particular environment;

receiving, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects;

identifying, with an image recognition module, the one or more objects within the user-provided digital image;

creating a modified digital image by parsing the identified one or more objects from the user-provided digital image;

identifying surfaces within the modified digital image;

identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

obtaining geographic data about a user,

accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions,

accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the geographic data about the user,

identifying correlations between the color-geographic look-up table and the digital architectural template look-up table, and

generating at least one proposed color based on the identified correlations between the color-geographic look-up table and the digital architectural template look-up table; and

generating a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image.

8 . The computerized method of claim 7 , wherein identifying, with the image recognition module, one or more objects within the user-provided digital image comprises:

accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment; and

mapping one or more digital architectural templates from the database subset to the one or more objects within the user-provided digital image.

9 . The computerized method of claim 8 , wherein the image recognition module comprises a machine learning algorithm.

10 . The computerized method of claim 7 , wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

identifying at least one color of at least one of the parsed one or more objects; and

generating at least one proposed color based on the at least one identified color of at least one of the parsed one or more objects.

11 . The computerized method of claim 7 , wherein identifying at least one proposed color for the surfaces within the modified image comprises:

identifying at least one color of at least one of the parsed one or more objects;

organizing the parsed one or more objects by a permanence attribute with respect to the particular environment; and

generating at least one proposed color based on the identified colors and permanence attributes associated with the parsed one or more objects.

12 . The computerized method of claim 8 , wherein accessing, within a digital architectural template database, a database subset of one or more digital architectural templates for the particular environment comprises:

obtaining data about an age of a user;

accessing an age look-up table, wherein the age look-up table comprises one or more digital architectural templates in association with various ages; and

generating the database subset of one or more digital architectural templates based on the data about the age of the user.

13 . The computerized method of claim 7 , wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

obtaining data about an age of a user;

accessing a color-age look-up table, wherein the color-age look-up table comprises color prevalence in association with various ages;

accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the data about the age of the user;

identifying correlations between the color-age look-up table and the digital architectural template look-up table; and

generating at least one proposed color based on the identified correlations between the color-age look-up table and the digital architectural template look-up table.

14 . A computer program product comprising one or more non-transitory computer storage media having stored thereon computer-executable instructions that, when executed at a processor, cause a computer system to perform a method for dynamically parsing a digital image to identify coating surfaces, the method comprising:

receiving, through a network connection, a user-provided input comprising an indication of a particular environment;

receiving, through the network connection, a user-provided digital image, wherein the digital image comprises a picture of an environment and one or more objects;

identifying, with an image recognition module, the one or more objects within the user-provided digital image;

creating a modified digital image by parsing the identified one or more objects from the user-provided digital image;

identifying surfaces within the modified digital image;

identifying at least one proposed color for the surfaces within the modified digital image, wherein identifying at least one proposed color for the surfaces within the modified digital image comprises:

obtaining geographic data about a user,

accessing a color-geographic look-up table, wherein the color-geographic look-up table comprises color prevalence in association with various geographic regions,

accessing a digital architectural template look-up table, wherein the digital architectural template look-up table comprises color prevalence in association with a database subset of one or more digital architectural templates based on the geographic data about the user,

identifying correlations between the color-geographic look-up table and the digital architectural template look-up table, and

generating at least one proposed color based on the identified correlations between the color-geographic look-up table and the digital architectural template look-up table; and

generating a colorized digital image by integrating the at least one proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image.

Assignments (5)

Continuity (2)

References Cited (79)