IP Library Granted Patent US 9,330,494
Granted Patent B2
US 9,330,494 · App. 12/605,980 · Granted May 3, 2016

Method for the automatic material classification and texture simulation for 3D models

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Quick Facts
Patent No.
US 9,330,494
App. No.
12/605,980
Granted
May 3, 2016
Kind
B2
Abstract

A method of automatically transforming a computerized 3D model having regions of images utilized as textures on one or more physical objects represented in the 3D model (such as building sides and roofs, walls, landscapes, mountain sides, trees and the like) to include material property information for one or more regions of the textures of the 3D model. In this method, image textures applied to the 3D model are examined by comparing, utilizing a computer, at least a portion of each image texture to entries in a palette of material entries. The material palette entry that best matches the one contained in the image texture is assigned to indicate a physical material of the physical object represented by the 3D model. Then, material property information is stored in the computerized 3D model for the image textures that are assigned a material palette entry.

Claims (36)

1. A method of automatically transforming a computerized 3D model having portions of images utilized as textures on one or more physical objects represented in the computerized 3D model to include material property information for one or more regions of the image textures of the computerized 3D model, comprising the steps of:

examining, using computer executable code operated on a computer, at least a portion of a first image texture having unknown material properties and applied to the computerized 3D model, by:

comparing, using computer executable code operated on the computer, the portion of the first image texture of the computerized 3D model to the second texture images of material entries in a palette of material entries stored on a non-transitory computer readable medium to determine a best match for the first image texture, the palette of material entries comprising a set of the second texture images, the second texture images associated with material properties of physical materials, the material properties having material property information about the physical material;

assigning the material entry in the palette that best matches the portion of the first image texture to the first image texture to indicate a physical material of the physical object represented by the portion of the first image texture in the computerized 3D model; and

storing the material property information of a selected material entry in the computerized 3D model.

2. The method of claim 1 , wherein the method comprises the step of modifying an image resolution of at least one of the first image texture in the computerized 3D model and the second texture images of the material entries in the palette of material entries to match prior to the step of comparing the first image texture to the second texture images of the material entries in the palette of material entries.

3. The method of claim 1 , wherein the material property information is stored in fields in the computerized 3D model.

4. The method of claim 1 wherein the material property information stored in the computerized 3D model includes a unique identifier for the selected material entry and wherein the method further comprises the step of retrieving the material property information from a list or database of material properties using the unique identifier.

5. The method of claim 2 , wherein the material property information is stored in fields in the computerized 3D model.

6. The method of claim 1 wherein the material property information stored in the computerized 3D model includes a unique identifier for the selected material entry and, and wherein the method further comprises the step of retrieving the material property information from a list or database of material properties using the unique identifier.

7. The method of claim 1 , further comprising the step of selecting an entry in the palette of material entries as a simulated texture for at least one of the textures of the computerized 3D model.

8. The method of claim 7 further comprising the step of utilizing the simulated texture as the image texture of the computerized 3D model.

9. The method of claim 7 wherein the simulated texture is combined with the first image texture of the computerized 3D model.

10. The method of claim 7 wherein the simulated texture has an image resolution greater than an image resolution of the first image texture.

11. A method of automatically transforming a 3D model image texture, comprising the steps of:

using a computer system to perform the steps of:

locating, with one or more processors executing computer executable instructions stored on one or more non-transitory computer readable medium, representations of predetermined structural elements in the 3D model image texture, utilizing an edge detection algorithm on the 3D model image texture;

examining, using computer executable code operated on the computer system at least a portion of the representations of predetermined structural elements in the 3D model image texture, by:

comparing, with the one or more processors executing computer executable instructions stored on the one or more non-transitory computer readable medium, the representations of predetermined structural elements to entries in a palette of structural element textures representing structural elements stored on the computer system to determine best matches for the representations of predetermined structural elements;

assigning, with the one or more processors executing computer executable instructions stored on the one or more non-transitory computer readable medium, the entries in the palette of structural element textures with the best match to the structural element found in the 3D model image texture; and

inserting with one or more processors executing computer executable instructions stored on the one or more non-transitory computer readable medium, material property information about the material from the entries in the palette of structural element textures with the best match into a computerized 3D model at the same size and position as the structural elements as found in the 3D model image texture by the edge detection algorithm.

12. The method of claim 11 further comprising the step of modifying and image resolution of the entries in the palette of structural elements to match an image resolution of the 3D model image texture.

13. The method of claim 11 wherein the step of inserting material property information is defined further as storing material property information of the entries in the palette of structural element textures with the best match in a field in the computerized 3D model directly.

14. The method of claim 11 , wherein the step of inserting material property information is defined further as the steps of storing a unique identifier for the entries in the palette of structural element textures with the best match in the computerized 3D model and subsequently using the unique identifier to retrieve the material property information from at least one of a list and a database of material properties.

15. The method of claim 11 further comprising the step of using the entries in the palette of structural element textures with the best match as simulated textures for the computerized 3D model as indicated by a size and position of the representations of predetermined structural elements.

16. The method of claim 15 wherein the simulated textures have an image resolution greater than an image resolution of an actual 3D model image texture, and wherein the method further comprises the step of combining the simulated texture with the actual 3D model image texture of the structural element at the size and position of the structural element as found in the 3D model image texture by the edge detection algorithm.

17. The method of claim 11 wherein the structural element is at least one of a window and a door.

18. A system for automatically transforming a computerized 3D model having portions of images utilized as textures on one or more physical objects represented in the computerized 3D model to include material property information for one or more regions of the image textures of the computerized 3D model, the system comprising:

a computer comprising;

a processor; and

a non-transitory computer readable medium storing computer executable code that when executed by the processor causes the computer to:

examine at least a portion of a first image texture having material properties and applied to a computerized 3D model, by comparing the first image texture of the computerized 3D model to second texture images of material entries in a palette of material entries stored on the non-transitory computer readable medium, the palette of material entries comprising a set of the second texture images, the second texture images associated with material properties of physical materials, the material properties having material property information about the physical material;

determine a best match for each image texture; and

assign the material entry in the palette that best matches the first image texture to the first image texture to indicate a physical material of the physical object represented by the portion of the first image texture in the computerized 3D model, the non-transitory computer readable medium storing the material property information of a selected material entry in the computerized 3D model.

19. The method of claim 1 , further comprising simulating with the computerized 3D model an impact on the physical object represented in the computerized 3D model and predicting results of the impact based at least in part on the stored material property information of the physical object.

20. The system of claim 18 , wherein the computer executable code when executed by the processor further causes the computer to simulate with the computerized 3D model an impact on the physical object represented in the computerized 3D model and predict results of the impact based at least in part on the assigned material property information of the physical object.

Assignments (13)
RELEASE OF SECURITY INTEREST Recorded Apr 14, 2025
From: HPS INVESTMENT PARTNERS, LLC
To: PICTOMETRY INTERNATIONAL CORP.
Reel/Frame 070828/0266 →
RELEASE OF FIRST LIEN SECURITY INTEREST IN PATENTS Recorded Apr 9, 2025
From: MORGAN STANLEY SENIOR FUNDING, INC.
To: PICTOMETRY INTERNATIONAL CORP.; EAGLE VIEW TECHNOLOGIES, INC.; OMNIEARTH, INC.
Reel/Frame 070786/0022 →
FIRST LIEN SECURITY AGREEMENT Recorded Mar 28, 2025
From: EAGLE VIEW TECHNOLOGIES, INC.; PICTOMETRY INTERNATIONAL CORP.
To: MORGAN STANLEY SENIOR FUNDING, INC.
Reel/Frame 070671/0078 →
RELEASE OF FIRST LIEN SECURITY INTEREST IN PATENTS Recorded Aug 29, 2018
From: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
To: PICTOMETRY INTERNATIONAL CORP.; EAGLE VIEW TECHNOLOGIES, INC.; OMNIEARTH, INC.
Reel/Frame 046970/0875 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Aug 23, 2018
From: PICTOMETRY INTERNATIONAL CORP.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
Reel/Frame 046919/0065 →
SECOND LIEN PATENT SECURITY AGREEMENT Recorded Aug 14, 2018
From: PICTOMETRY INTERNATIONAL CORP.
To: HPS INVESTMENT PARTNERS, LLC,
Reel/Frame 046823/0755 →
RELEASE OF SECOND LIEN SECURITY INTEREST Recorded Sep 22, 2017
From: MORGAN STANLEY SENIOR FUNDING, INC.
To: PICTOMETRY INTERNATIONAL CORP.; EAGLE VIEW TECHNOLOGIES, INC.; OMNIEARTH, INC.
Reel/Frame 043955/0128 →
SECOND LIEN PATENT SECURITY AGREEMENT Recorded Jul 20, 2015
From: PICTOMETRY INTERNATIONAL CORP.; EAGLE VIEW TECHNOLOGIES, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC.
Reel/Frame 036130/0873 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Jul 20, 2015
From: PICTOMETRY INTERNATIONAL CORP.; EAGLE VIEW TECHNOLOGIES, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC.
Reel/Frame 036130/0899 →
RELEASE OF SECURITY INTEREST Recorded Jul 2, 2015
From: JPMORGAN CHASE BANK, N.A.
To: PICTOMETRY INTERNATIONAL CORPORATION
Reel/Frame 035972/0938 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2011
From: SCHULTZ, STEPHEN
To: PICTOMETRY INTERNATIONAL CORPORATION
Reel/Frame 025964/0739 →
NOTICE OF SECURITY INTEREST Recorded Jan 21, 2011
From: PICTOMETRY INTERNATIONAL CORP.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 025674/0723 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 13, 2010
From: SCHULTZ, STEPHEN
To: PICTOMETRY INTERNATIONAL CORPORATION
Reel/Frame 024226/0909 →