Detecting an interest point in an image using edges
First Claim
1. A method for detecting an interest point in an image using edges, comprising:
- computing normalized edge magnitudes and edge orientations for the image using a processor to form a normalized gradient image;
dividing the normalized gradient image into a plurality of image orientation maps having edge orientations;
applying orientation dependent filtering to the image orientation maps to form response images;
summing the response images to obtain an aggregated filter response image;
identifying maxima in spatial position and scale in the aggregated filter response image; and
defining maxima in the aggregated filter response as interest points.
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Accused Products
Abstract
Technology is described for detecting an interest point in an image using edges. An example method can include the operation of computing locally normalized edge magnitudes and edge orientations for the image using a processor to form a normalized gradient image. The normalized gradient image can be divided into a plurality of image orientation maps having edge orientations. Orientation dependent filtering can be applied to the image orientation maps to form response images. A further operation can be summing the response images to obtain an aggregated filter response image. Maxima can be identified in spatial position and scale in the aggregated filter response image. Maxima in the aggregated filter response image can be defined as interest points.
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Citations
20 Claims
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1. A method for detecting an interest point in an image using edges, comprising:
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computing normalized edge magnitudes and edge orientations for the image using a processor to form a normalized gradient image; dividing the normalized gradient image into a plurality of image orientation maps having edge orientations; applying orientation dependent filtering to the image orientation maps to form response images; summing the response images to obtain an aggregated filter response image; identifying maxima in spatial position and scale in the aggregated filter response image; and defining maxima in the aggregated filter response as interest points. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for detecting an interest point in an image using edges, comprising:
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computing normalized edge magnitudes and orientations for the image to form a normalized gradient image; applying image filters to the normalized gradient image to form filter response images; identifying maxima having spatial position and scale in aggregated filter response images; and defining maxima in the image as an interest point. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for detecting an interest point in an image using edges, comprising:
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a memory device for storing the image; an normalization module to compute locally normalized edge magnitudes and orientations for the image using a processor to form a normalized gradient image; a plurality of image orientation bins representing edge orientations into which the normalized gradient image is divided to create image orientation maps; an orientation dependent filtering module to apply orientation dependent filters to the image orientation maps to form response images using a processor; a summation module to sum the response images in order to obtain an aggregated filter response image; and an interest point identification module to identify local maxima in the aggregated filter response image in spatial position. - View Dependent Claims (19, 20)
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Specification