Measuring an appearance property of a surface using a bidirectional reflectance distribution function

• US 7,944,561 B2
• Filed: 06/04/2007
• Issued: 05/17/2011
• Est. Priority Date: 04/25/2005
• Status: Active Grant

• Current Assignee: X-Rite Incorporated (Danaher Corporation)
• Original Assignee: X-Rite Incorporated (Danaher Corporation)
• Inventors: Rood, Patrick S., Pawlanta, Brett Allen, Teunis, Brian Dale, Richardson, Thomas M., Nisper, Jon Kenneth
• Primary Examiner(s): Chowdhury; Tarifur
• Assistant Examiner(s): Stock, Jr.; Gordon J
• Application Number:
  US11/810,012
• Publication Number:
  US 20070291993A1
• Time in Patent Office: 1,443 Days
• Field of Search: None
• US Class Current: 356/445
• CPC Class Codes: G01N 2021/4711 Multiangle measurement
• CPC Class Codes: G01N 21/474 Details of optical heads therefor, e.g. using optical fibres
• CPC Class Codes: G01N 21/55 Specular reflectivity
• CPC Class Codes: G01N 21/8422 Investigating thin films, e.g. matrix isolation method

Abstract

An apparatus for measuring a spatially under-sampled Bidirectional Reflectance Distribution Function (BRDF) of a surface. The apparatus may comprise a first light source directed to illuminate the surface from a first illumination direction, and a plurality of sensors positioned to receive light reflected by the surface. The plurality of sensors may comprise first, second and third sensors positioned to receive light reflected by the surface in first, second and third non-coplanar directions. In various embodiments, the apparatus may also comprise a computer in communication with the plurality of sensors. The computer is configured to convert light sensed by the plurality of sensors into a first appearance property of the surface considering the first, second, and third reflectance directions.

Claims

1. An apparatus for measuring spectral data of a surface, the apparatus comprising:

one or more light sources for illuminating a surface;

one or more sensors for receiving light reflected by the surface; and

a computer in communication with the plurality of sensors;

wherein the apparatus is adapted to receive light reflected by the surface in each of a plurality of reflectance directions; and

wherein the computer is programmed to calculate a plurality of directional responses of the surface based on the received light in each of the plurality of reflectance directions, wherein each directional response is for a different wavelength or range of wavelengths, and wherein each directional response is calculated based on a vector sum of reflectance vectors over the plurality of reflectance directions at a corresponding wavelength or wavelength range.

2. The apparatus of claim 1, wherein reflectance direction is defined relative to a specular direction and an in-plane projection of an illumination direction orthogonal to the specular direction.

3. The apparatus of claim 1, wherein the received light is from at least a first, second and third reflectance directions, and wherein the first, second, and third reflectance directions are not coplanar.

4. The apparatus of claim 1, wherein the one or more light sources includes a first light source incident on the surface from a first illumination direction;

and

wherein the one or more sensors includes a plurality of sensors adapted to receive light originated from the first light source along the first illumination direction and reflected by the surface, wherein the plurality of sensors comprises;

a first sensor adapted to receive light reflected by the surface in a first reflectance direction;

a second sensor adapted to receive light reflected by the surface in a second reflectance direction; and

a third sensor adapted to receive light reflected by the surface in a third reflectance direction.

5. The apparatus of claim 1, wherein each directional response is scaled based on a vector sum of an ideal white Lambertian reflector.

6. The apparatus of claim 1, wherein the computer is further programmed to generate a spectral representation defined by the directional endpoints of the plurality of directional responses.

7. The apparatus of claim 1, wherein the vector sum is a weighted vector sum.

8. The apparatus of claim 6, wherein the generated spectral representation is selected from the group consisting of a two-dimensional spectral representation and a three-dimensional representation and wherein a coordinate system for the generated spectral representation is defined by two or more axes selected from a group consisting of a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction, and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

9. The apparatus of claim 6, further comprising a database for storing one or more spectral representations for known surfaces, wherein the computer is further programmed to compare the generated spectral representation to a reference spectral representation, wherein the reference spectral representation is one of (i) a stored spectral representations and (ii) a spectral representation derived therefrom.

10. The apparatus of claim 7, wherein weighting associated with the weighted vector sum is determined based on reflectance factors for each reflectance direction.

11. The apparatus of claim 7, wherein weighting associated with the weighted vector sum is used to reduce or exclude specular reflection.

12. A method for measuring spectral data of a surface, the method comprising:

receiving at one or more sensors light reflected by a surface in each of a plurality of reflectance directions,

calculating, using a computer, a plurality of directional responses of the surface based on the received light in each of the plurality of reflectance directions, wherein each directional response is for a different wavelength or range of wavelengths, and wherein each directional response is calculated based on a vector sum of reflectance vectors over the plurality of reflectance directions at a corresponding wavelength or wavelength range.

13. The method of claim 12, wherein reflectance direction is defined relative to a specular direction and an in-plane projection of an illumination direction orthogonal to the specular direction.

14. The method of claim 12, further comprising populating a database with one or more stored spectral representations of known surfaces.

15. The method of claim 12, further comprising generating a spectral representation defined by directional endpoints of the plurality of directional responses.

16. The method of claim 12, further comprising comparing the generated spectral representation or a derivative thereof relative to a reference spectral representation.

17. The method of claim 15, wherein the generated spectral representation is selected from the group consisting of a two-dimensional spectral representation and a three-dimensional representation and wherein a coordinate system for the generated spectral representation is defined by two or more axes selected a group consisting of a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction, and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

18. The method of claim 15, wherein the generated spectral representation is used to represent, determine, assess or control at least one of (i) optical properties of the surface, (ii) formulation characteristics related to the surface and (iii) process factors related to the surface.

19. The method of claim 16, wherein the derivative of the generated spectral representation is a spectral representation derived by applying one or more transformation factors to the generated spectral representation.

20. The method of claim 16, wherein the comparing the generated spectral representation or a derivative thereof relative to the reference spectral representation includes calculating the square root of the sum of the squared distances between the reference spectral representation and the generated spectral representation or the derivation thereof.

21. The method of claim 16, wherein the comparing the generated spectral representation or a derivative thereof relative to the reference spectral representation includes determining colorimetric data for the generated spectral representation or for a derivation thereof.

22. The method of claim 16, further comprising determining one or more transformation factors for the generated spectral representation or for the derivative thereof, the one or more transformation factors including at least one of (i) a translation factor, (ii) a rotation factor, (iii) an alignment factor and (iv) a scale factor.

23. The method of claim 20, further comprising applying a non-linear scale before calculating the square root of the sum of the squared distances.

24. The method of claim 21, wherein the colorimetric data includes a set of vectors determined based on standard XYZ data in each of a y-z plane, an x-z plane and an x-y plane based on a coordinate system defined by a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

25. The method of claim 24, further comprising determining at least one of (i) L, a, b data and (ii) color difference data based on magnitudes of the vectors in the set of vectors.

26. The method of claim 22, wherein the comparing the generated spectral representation relative to the reference spectral representation or the derivative thereof includes comparing the one or more determined transformation factors relative to one or more transformation factors for the reference spectral representation.

27. The method of claim 22, wherein the one or more transformation factors includes a translation factor determined with respect to an average directional response, wherein the translation factor is determined relative to an origin point based on a coordinate system defined by a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

28. The method of claim 22, wherein the one or more transformation factors includes a rotation factor determined based on a rotation of a best fit plane relative to a y-z plane based on a coordinate system defined by a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

29. The method of claim 22, wherein the one or more transformation factors includes an azimuth rotation factor determined based on a rotation in an x-y plane and a colatitude rotation factor determined based on a rotation in an x-z plane.

30. The method of claim 22, wherein the one or more transformation factors includes an alignment factor determined based on a rotation of the generated spectral representation or the derivation thereof in a y-z plane based on a coordinate system defined by a z-axis corresponding to a specular direction, a y-axis corresponding to a projection of the illumination direction orthogonal to the specular direction and an x-axis corresponding to a cross-product of the specular direction and a projection of the illumination direction orthogonal to the specular direction.

31. The method of claim 22, wherein the one or more transformation factors includes a scale factor and an alignment factor determined simultaneously using a least squares fit to minimize the distance between a standard spectral representation and the generated spectral representation or the derivation thereof.

32. The method of claim 31, wherein the one or more transformation factors includes a scale factor, wherein the scale factor is used to determine whether differences between the generated spectral representation and the reference spectral representation are on account of process differences or on account of formulation differences.