SPECULARITY DETERMINATION FROM IMAGES
Aspects of the disclosure relate generally to determine specularity of an object. As an example, an object or area of geometry 512, 712, 812, 1304 may be selected. A set of images 510, 520, or 620, or 710, 720 or 810, 820 or 1306 that include the area of geometry 512 may be captured. This set of ima...
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| creator | DUCHAINEAU, Mark, Alan MESOLONGITIS, Agis, Lakovos JONES, Jonah |
| description | Aspects of the disclosure relate generally to determine specularity of an object. As an example, an object or area of geometry 512, 712, 812, 1304 may be selected. A set of images 510, 520, or 620, or 710, 720 or 810, 820 or 1306 that include the area of geometry 512 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 636, 840, 1308. The specularity of the area may then be classified based on at least the fit. |
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As an example, an object or area of geometry 512, 712, 812, 1304 may be selected. A set of images 510, 520, or 620, or 710, 720 or 810, 820 or 1306 that include the area of geometry 512 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 636, 840, 1308. 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As an example, an object or area of geometry 512, 712, 812, 1304 may be selected. A set of images 510, 520, or 620, or 710, 720 or 810, 820 or 1306 that include the area of geometry 512 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 636, 840, 1308. 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As an example, an object or area of geometry 512, 712, 812, 1304 may be selected. A set of images 510, 520, or 620, or 710, 720 or 810, 820 or 1306 that include the area of geometry 512 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 636, 840, 1308. The specularity of the area may then be classified based on at least the fit.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng ; fre ; ger |
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| subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | SPECULARITY DETERMINATION FROM IMAGES |
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