TEXTURE SENSING

• US 20110013808A1
• Filed: 07/14/2009
• Published: 01/20/2011
• Est. Priority Date: 07/14/2009
• Status: Active Grant

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Wolfe, Andrew, Conte, Thomas Martin
• Granted Patent: US 8,355,541 B2
• Time in Patent Office: Days
• US Class Current: 382/108
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06T 2200/08 involving all processing steps from image acquisition to 3D model generation
• CPC Class Codes: G06T 7/41 based on statistical description of texture

Abstract

A device for modeling a texture is described. An example device may include a plurality of image sensors, a data storage, and a processor operatively associated with the data storage and adapted to execute computer implemented instructions to capture a set of images of a surface with one or more of the plurality of image sensors, analyze the set of captured images to determine one or more surface variables, and convert the analyzed set of captured images into a surface texture type based on the one or more surface variables. A method for modeling a surface texture using a hand-held device is also described.

Claims

1. A device for modeling a texture associated with a surface, comprising:

a plurality of image sensors; and

a processor adapted to execute computer implemented instructions to;

capture a set of images of the surface with one or more of the plurality of image sensors;

analyze the set of captured images to determine one or more surface variables; and

convert the analyzed set of captured images into a surface texture type based on the one or more surface variables.

2. The device of claim 1, the one or more surface variables comprising a frequency of vertical displacement in a first dimension and a second dimension, an amplitude of displacement in a third dimension, and sharpness.

3. The device of claim 1, the one or more surface variables comprising a frequency of vertical displacement in a first dimension and a second dimension, and an amplitude of displacement in the first or second dimension.

4. The device of claim 1, wherein the processor is further adapted to execute computer implemented instructions to correlate at least a portion of the set of captured images with at least a portion of a previous set of captured images of the surface.

5. The device of claim 1, wherein analyzing the set of captured images to determine one or more surface variables and converting the analyzed set of captured images into a surface texture type comprises:

modeling a texture of the surface based on the one or more surface variables; and

converting the modeled texture into a surface texture type.

6. The device of claim 5:

wherein reference texture data is accessible to the processor; and

wherein the modeled surface texture is converted into a type of surface texture based on a comparison with the reference texture data.

7. The device of claim 6, wherein the modeled surface texture is compared with the reference texture data to determine a known surface texture type that is most similar to the modeled surface texture.

8. The device of claim 1, further comprising a housing, wherein the housing is configured such that the texture modeling device is a handheld device.

9. The device of claim 7, wherein the plurality of image sensors are positioned on the housing at angles with respect to one another.

10. A method for modeling a texture of a surface using a hand-held device that includes a housing and a plurality of image sensors, the method comprising:

capturing a set of images of the surface with at least a portion of the plurality of image sensors;

analyzing the set of captured images to determine one or more surface variables; and

converting the analyzed set of captured images into a surface texture type based on the one or more surface variables.

11. The method of claim 10, the one or more surface variables comprising a frequency of vertical displacement in a first dimension and a second dimension, an amplitude of displacement in a third dimension, and sharpness

12. The method of claim 10, further comprising correlating at least a portion of the set of captured images with at least a portion of a previous set of captured images of the surface.

13. The method of claim 10, wherein analyzing the set of captured images to determine one or more surface variables and converting the analyzed set of captured images into a surface texture type comprises:

modeling a texture of the surface based on the one or more surface variables; and

converting the modeled texture into a surface texture type.

14. The method of claim 13, wherein reference texture data is stored to the data storage;

and wherein the modeled surface texture is converted into a type of surface texture based on a comparison with the reference texture data.

15. The method of claim 14, wherein the modeled surface texture is compared with the reference texture data to determine a known surface texture type that is most similar to the modeled surface texture.

16. Digital storage media having code provided thereon for programming one or more processors to perform a procedure for modeling a surface texture using a device comprising a housing and a plurality of image sensors, wherein the procedure comprises:

capturing a set of images of the surface with one or more of the plurality of image sensors;

analyzing the set of captured images to determine one or more surface variables; and

converting the analyzed set of captured images into a surface texture type based on the one or more surface variables.

17. The digital storage media of claim 16, the one or more surface variables comprising a frequency of vertical displacement in a first dimension and a second dimension, an amplitude of displacement in a third dimension, and sharpness.

18. The digital storage media of claim 16, wherein analyzing the set of captured images to determine one or more surface variables and converting the analyzed set of captured images into a surface texture type comprises:

modeling a texture of the surface based on the one or more surface variables; and

converting the modeled texture into a surface texture type.

19. The digital storage media of claim 18, wherein reference texture data is stored to the data storage;

and wherein the modeled surface texture is converted into a type of surface texture based on a comparison with the reference texture data.

20. The digital storage media of claim 19, wherein the modeled surface texture is compared with the reference texture data to determine a known surface texture type that is most similar to the modeled surface texture.