CORRELATABILITY ANALYSIS FOR SPARSE ALIGNMENT
First Claim
1. A computer-implementable method of estimating a geometrical relationship between a first image and a second image, said second image including a noise component, said method comprising the steps of:
- (a) determining a location and size of each one of a plurality of image patches, based on the noise component included in said second image and correlation information derived from said first image;
(b) identifying a plurality of first image areas in said first image and a corresponding plurality of second image areas in said second image, based on the location and size of each one of said plurality of image patches, wherein each first image area of said first image corresponds to a related second image area of said second image; and
(c) determining a geometrical relationship between said first and second images by comparing, for each one of said first image areas, information located within said first image area with information located within said corresponding related second image area.
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Accused Products
Abstract
Disclosed herein is a method of estimating a geometrical relationship between a first image (101) and a second image (102), wherein the second image (102) includes a noise component. The method determines a location and size of each one of a plurality of image patches (201), based on the noise component included in the second image (102) and correlation information derived from the first image (101). The method then identifies a plurality of first image areas in the first image and a corresponding plurality of second image areas in the second image, based on the location and size of each one of the plurality of image patches. Each first image area of the first image (101) corresponds to a related second image area of the second image (102). The method then determines a geometrical relationship between the first and second images (101, 102) by comparing, for each one of the first image areas, information located within the first image area with information located within the corresponding related second image area.
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Citations
17 Claims
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1. A computer-implementable method of estimating a geometrical relationship between a first image and a second image, said second image including a noise component, said method comprising the steps of:
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(a) determining a location and size of each one of a plurality of image patches, based on the noise component included in said second image and correlation information derived from said first image; (b) identifying a plurality of first image areas in said first image and a corresponding plurality of second image areas in said second image, based on the location and size of each one of said plurality of image patches, wherein each first image area of said first image corresponds to a related second image area of said second image; and (c) determining a geometrical relationship between said first and second images by comparing, for each one of said first image areas, information located within said first image area with information located within said corresponding related second image area. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer program product including a computer readable storage medium having recorded thereon a computer program for directing a processor to execute a method for of estimating a geometrical relationship between a first image and a second image, said second image including a noise component, said computer program product comprising:
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(a) code for determining a location and size of each one of a plurality of image patches, based on the noise component included in said second image and correlation information derived from said first image; (b) code for identifying a plurality of first image areas in said first image and a corresponding plurality of second image areas in said second image, based on the location and size of each one of said plurality of image patches, wherein each first image area of said first image corresponds to a related second image area of said second image; and (c) code for determining a geometrical relationship between said first and second images by comparing, for each one of said first image areas, information located within said first image area with information located within said corresponding related second image area.
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Specification