IP Library Granted Patent US 10,229,532
Granted Patent B2
US 10,229,532 · App. 15/977,848 · Granted Mar 12, 2019

Systems and methods for rapid three-dimensional modeling with real facade texture

Inventors: Joseph G. Freund (Rishon Le-Zion, IL); Ran Gal (Rishon Le-Zion, IL)
Assignee: Pictometry International Corporation
G06T17/05G06T11/001G06T15/005G06T15/04G06T15/205G06T15/40G06T17/00G06T17/20G06T2210/04G06T2215/16
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Quick Facts
Patent No.
US 10,229,532
App. No.
15/977,848
Granted
Mar 12, 2019
Kind
B2
Abstract

Computer systems and methods are described for automatically generating a 3D model, including locating a geographical location of a structure using wire-frame data of the structure; obtaining, using the geographical location of the structure, geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and applying the real façade texture of the base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Claims (66)

1. A computer system for automatically generating a three-dimensional model, comprising:

one or more computer processor; and,

one or more non-transitory computer readable medium accessible by the one or more computer processor and storing instructions that when executed by the one or more computer processor cause the one or more computer processor to:

identify wire-frame data of a structure within an area of interest;

locate a geographical location of the structure using the wire-frame data of the structure;

obtain, using the geographical location of the structure, multiple geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure;

locate a geographical position of one or more real façade texture of the structure;

select one or more base oblique image from the multiple geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and,

apply the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three-dimensional model providing a real-life representation of physical characteristics of the structure.

2. The computer system of claim 1 , wherein locating a geographical position of one or more real façade texture of the structure comprises locating the geographical position of at least one real façade texture of the structure utilizing the wire-frame data of the structure.

3. The computer system of claim 1 , wherein the factorial analysis is a weighted determination based on at least two factors, the factors including at least one of resolution of the geo-referenced images, colour depth of the geo-referenced images, proportional size of the real façade texture of the geo-referenced images, contrast in the geo-referenced images images, time of day the geo-referenced images were captured, time of year the geo-referenced images were captured, amount of foliage in the geo-referenced images, and contrast in lighting conditions in the geo-referenced images.

4. The computer system of claim 1 , wherein the one or more non-transitory computer readable medium stores instructions that when executed by the one or more computer processor further causes the one or more computer processor to:

analyze the real façade texture depicted within the base oblique image to locate a geographical position of at least one occlusion;

locate at least one oblique image having an unoccluded image characteristic of the occlusion in the real façade texture from the multiple geo-referenced images; and,

apply the unoccluded image characteristic to the real façade texture forming a mosaic image.

5. The computer system of claim 4 , wherein the instructions are configured to use pixel pattern recognition of the real façade texture to locate the occlusion.

6. The computer system of claim 4 , wherein the geo-referenced images are geo-referenced solved images.

7. The computer system of claim 4 , wherein the instructions are configured to remove the occlusion from the real façade texture.

8. The computer system of claim 1 , further comprising instructions that when executed by the one or more computer processor cause the one or more computer processor to extract the real façade texture from the base oblique image, the real façade texture having geo-referenced information.

9. The computer system of claim 1 , wherein the real façade texture includes overlapping structures having a geometry, and wherein the instructions, when executed by the one or more computer processor cause the one or more computer processor to analyze the geometry of the overlapping structures to determine whether the overlapping structures are occlusions or desirable features of the real façade texture.

10. The computer system of claim 9 , wherein a first overlapping structure of the overlapping structures is a roof structure.

11. The computer system of claim 9 , wherein the one or more non-transitory computer readable medium stores instructions that when executed by the one or more computer processor further causes the one or more computer processor to:

apply the real façade texture of the overlapping structures that are determined to be desirable features to the three-dimensional model.

12. The computer system of claim 1 , wherein the factorial analysis of the image raster content further comprises analysis of image characteristics of the real façade texture contained in the image raster content.

13. The computer system of claim 1 , wherein the factorial analysis of the image raster content further comprises analysis of multiple characteristics of the real façade texture in the image raster content of multiple geo-referenced images.

14. The computer system of claim 13 , wherein locating a geographical position of one or more real façade texture of the structure comprises locating the geographical position of at least one real façade texture of the structure utilizing the wire-frame data of the structure.

15. The computer system of claim 13 , wherein the one or more non-transitory computer readable medium stores instructions that when executed by the one or more computer processor further causes the one or more computer processor to:

analyze the real façade texture depicted within the base oblique image to locate a geographical position of at least one occlusion;

locate at least one oblique image having an unoccluded image characteristic of the occlusion in the real façade texture from the multiple geo-referenced images; and,

apply the unoccluded image characteristic to the real façade texture forming a mosaic image.

16. The computer system of claim 15 , wherein the instructions are configured to use pixel pattern recognition of the real façade texture to locate the occlusion.

17. The computer system of claim 15 , wherein the geo-referenced images are geo-referenced solved images.

18. The computer system of claim 15 , wherein the instructions are configured to remove the occlusion from the real façade texture.

19. The computer system of claim 13 , further comprising instructions that when executed by the one or more computer processor cause the one or more computer processor to extract the real façade texture from the base oblique image, the real façade texture having geo-referenced information.

20. The computer system of claim 13 , wherein the real façade texture includes overlapping structures having a geometry, and wherein the instructions, when executed by the one or more computer processor cause the one or more computer processor to analyze the geometry of the overlapping structures to determine whether the overlapping structures are occlusions or desirable features of the real façade texture.

21. The computer system of claim 20 , wherein a first overlapping structure of the overlapping structures is a roof structure.

22. The computer system of claim 20 , wherein the one or more non-transitory computer readable medium stores instructions that when executed by the one or more computer processor further causes the one or more computer processor to:

apply the real façade texture of the overlapping structures that are determined to be desirable features to the three-dimensional model.

23. A method for automatically generating a three-dimensional model, comprising:

identifying, with one or more computer processor, wire-frame data of a structure within an area of interest;

locating, with the one or more computer processor, a geographical location of the structure using the wire-frame data of the structure;

obtaining, with the one or more computer processor, using the geographical location of the structure, multiple geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure;

locating, with the one or more computer processor, a geographical position of one or more real façade texture of the structure;

selecting, with the one or more computer processor, one or more base oblique image from the multiple geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and,

applying, with the one or more computer processor, the real façade texture of the one or more base oblique image to the wire-frame data of the structure to create a three-dimensional model providing a real-life representation of physical characteristics of the structure.

24. The method of claim 23 , wherein locating a geographical position of one or more real façade texture of the structure comprises locating the geographical position of at least one real façade texture of the structure utilizing the wire-frame data of the structure.

25. The method of claim 23 , wherein the factorial analysis is a weighted determination based on at least two factors, the factors including at least one of resolution of the geo-referenced images, colour depth of the geo-referenced images, proportional size of the real façade texture of the geo-referenced images, contrast in the geo-referenced images, time of day the geo-referenced images were captured, time of year the geo-referenced images were captured, amount of foliage in the geo-referenced images, and contrast in lighting conditions in the geo-referenced images.

26. The method of claim 23 , further comprising:

analyzing, using the one or more computer processor, the real façade texture depicted within the base oblique image to locate a geographical position of at least one occlusion;

locating, using the one or more computer processor, at least one oblique image having an unoccluded image characteristic of the occlusion in the real façade texture from the multiple geo-referenced images; and,

applying, using the one or more computer processor, the unoccluded image characteristic to the real façade texture forming a mosaic image.

27. The method of claim 26 , further comprising removing, using the one or more computer processor, the occlusion from the real façade texture.

28. The method of claim 23 , wherein the real façade texture includes overlapping structures having a geometry, and further comprising, analyzing, using the one or more computer processor, the geometry of the overlapping structures to determine whether the overlapping structures are occlusions or desirable features of the real façade texture.

29. The method of claim 28 , further comprising:

applying using the one or more computer processor, the real façade texture of the overlapping structures that are determined to be desirable features to the three-dimensional model.

30. The method of claim 23 , wherein the factorial analysis of the image raster content further comprises analysis of image characteristics of the real façade texture contained in the image raster content.

31. The method of claim 23 , wherein the factorial analysis of the image raster content further comprises analysis of the real façade texture formed by the image raster content of multiple geo-referenced images.

32. The method of claim 31 , wherein locating a geographical position of one or more real façade texture of the structure comprises locating the geographical position of at least one real façade texture of the structure utilizing the wire-frame data of the structure.

33. The method of claim 31 , further comprising:

analyzing, using the one or more computer processor, the real façade texture depicted within the base oblique image to locate a geographical position of at least one occlusion;

locating, using the one or more computer processor, at least one oblique image having an unoccluded image characteristic of the occlusion in the real façade texture from the multiple geo-referenced images; and,

applying, using the one or more computer processor, the unoccluded image characteristic to the real façade texture forming a mosaic image.

34. The method of claim 33 , further comprising removing, using the one or more computer processor, the occlusion from the real façade texture.

35. The method of claim 31 , wherein the real façade texture includes overlapping structures having a geometry, and further comprising, analyzing, using the one or more computer processor, the geometry of the overlapping structures to determine whether the overlapping structures are occlusions or desirable features of the real façade texture.

36. The method of claim 35 , further comprising:

applying, using the one or more computer processor, the real façade texture of the overlapping structures that are determined to be desirable features to the three-dimensional model.

Assignments (7)
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 →
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 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2018
From: FREUND, JOSEPH G.; GAL, RAN
To: IDAN COMPUTERS ENGINEERING (1979) LTD.
Reel/Frame 046485/0602 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2018
From: IDAN COMPUTERS ENGINEERING (1979) LTD.
To: PICTOMETRY INTERNATIONAL CORPORATION
Reel/Frame 046486/0072 →
Continuity (8)
Continuation 15830823 · Dec 4, 2017
Continuation 15374358 · Dec 9, 2016
Continuation 15056598 · Feb 29, 2016
Continuation 14633285 · Feb 27, 2015
Continuation 14152638 · Jan 10, 2014
Continuation 13903683 · May 28, 2013
Continuation 11998974 · Dec 3, 2007
Related Publication 20180261006A1 · Sep 13, 2018
Cited By (9)
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