Robust sparse image matching for robotic surgery
First Claim
1. A method of matching images, the method comprising:
- identifying selected points of interest of a first image for matching to a second image; and
selectively matching the selected points of interest to the second image to determine matched points of interest of the second image by computing a plurality of image offsets using a plurality of image processing methods and using one of the plurality of image offsets according at least partially to a confidence score of one of the plurality of image offsets.
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Accused Products
Abstract
Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.
201 Citations
31 Claims
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1. A method of matching images, the method comprising:
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identifying selected points of interest of a first image for matching to a second image; and selectively matching the selected points of interest to the second image to determine matched points of interest of the second image by computing a plurality of image offsets using a plurality of image processing methods and using one of the plurality of image offsets according at least partially to a confidence score of one of the plurality of image offsets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method of matching images, the method comprising:
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identifying selected points of interest of a first image for matching to a second image; determining a region of the first image for each of the selected points of interest; matching each region of the first image to a second image to determine a confidence score for a matched region of the second image; identifying a feature of the first image for each of the regions with a low confidence score; matching each feature of the first image to the second image to determine a confidence score for a matched feature of the second image; and determining a matched point of interest of the second image for each point of interest in response to; a location of the matched region when the confidence score for the region is high, and a location of the matched feature when the confidence score for the feature is high. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A system for matching images, the system comprising:
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a source of a first image and a second image; and a processor system coupled to the source and comprising a tangible medium configured to identify selected points of interest of the first image and selectively match the selected points of interest to the second image by computing a plurality of image offsets using a plurality of image processing methods and using one of the plurality of image offsets according at least partially to a confidence score of one of the plurality of image offsets. - View Dependent Claims (31)
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Specification