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

• US 10,229,532 B2
• Filed: 05/11/2018
• Issued: 03/12/2019
• Est. Priority Date: 12/03/2007
• Status: Active Grant

• Current Assignee: Pictometry International Corporation (EagleView Technologies Incorporated)
• Original Assignee: Pictometry International Corporation (EagleView Technologies Incorporated)
• Inventors: Freund, Joseph G., Gal, Ran
• Primary Examiner(s): Hoang, Phi
• Application Number:
  US15/977,848
• Publication Number:
  US 20180261006A1
• Time in Patent Office: 305 Days
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06T 15/04 Texture mapping
• CPC Class Codes: G06T 17/05 Geographic models

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

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 faç

ade texture of the structure;

locate a geographical position of one or more real faç

ade 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 faç

ade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and

,

apply the real faç

ade 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 faç

ade texture of the structure comprises locating the geographical position of at least one real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture from the multiple geo-referenced images; and

,

apply the unoccluded image characteristic to the real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture from the base oblique image, the real faç

ade texture having geo-referenced information.

9. The computer system of claim 1, wherein the real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture of the structure comprises locating the geographical position of at least one real faç

ade 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 faç

ade 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 faç

ade texture from the multiple geo-referenced images; and

,

apply the unoccluded image characteristic to the real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture from the base oblique image, the real faç

ade texture having geo-referenced information.

20. The computer system of claim 13, wherein the real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture of the structure;

locating, with the one or more computer processor, a geographical position of one or more real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture of the structure comprises locating the geographical position of at least one real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture from the multiple geo-referenced images; and

,

applying, using the one or more computer processor, the unoccluded image characteristic to the real faç

ade 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 faç

ade texture.

28. The method of claim 23, wherein the real faç

ade 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 faç

ade texture.

29. The method of claim 28, further comprising:

applying using the one or more computer processor, the real faç

ade 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 faç

ade 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 faç

ade 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 faç

ade texture of the structure comprises locating the geographical position of at least one real faç

ade 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 faç

ade 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 faç

ade texture from the multiple geo-referenced images; and

,

applying, using the one or more computer processor, the unoccluded image characteristic to the real faç

ade 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 faç

ade texture.

35. The method of claim 31, wherein the real faç

ade 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 faç

ade texture.

36. The method of claim 35, further comprising:

applying, using the one or more computer processor, the real faç

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