Specularity determination from images
First Claim
1. A method for determining specularity, the method comprising:
- identifying, by the one or more computing devices, a set of images including a geographic area;
for each particular image of the set determining, by the one or more computing devices, an intensity value for the geographic area for that particular image to generate a set of intensity values;
identifying, by the one or more computing devices, a specularity function based on the set of intensity values; and
classifying, by the one or more computing devices, specularity of the geographic area based on the specularity function.
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Accused Products
Abstract
Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
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Citations
20 Claims
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1. A method for determining specularity, the method comprising:
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identifying, by the one or more computing devices, a set of images including a geographic area; for each particular image of the set determining, by the one or more computing devices, an intensity value for the geographic area for that particular image to generate a set of intensity values; identifying, by the one or more computing devices, a specularity function based on the set of intensity values; and classifying, by the one or more computing devices, specularity of the geographic area based on the specularity function. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for determining specularity, the system comprising one or more computing devices configured to:
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identify a set of images including a geographic area; for each particular image of the set determine an intensity value for the geographic area for that particular image to generate a set of intensity values; identify a specularity function based on the set of intensity values; and classify specularity of the geographic area based on the specularity function. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A system for determining specularity, the system comprising one or more computing devices configured to:
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divide an object into a set of polygon-shaped surface geometry patches; for each particular patch of the set of polygon-shaped surface geometry patches, identify a specularity function by; identifying a set of images of the object captured at different times from different orientations; determining an average intensity value of the particular patch for each image of the set of images; and determining an angle value of the particular patch for each image of the set of images; and using, by the one or more computing devices, the specularity function for each particular patch to determine a degree of shininess for that particular patch. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification