Image concealing via efficient feature selection
First Claim
Patent Images
1. A method comprising:
- automatically dividing an initial feature representation of an image into two or more subsets;
selecting at least one representative feature from each of the two or more subsets;
estimating a warping parameter for the image using the at least one representative feature from each of the two or more subsets.
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Abstract
A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.
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Citations
19 Claims
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1. A method comprising:
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automatically dividing an initial feature representation of an image into two or more subsets; selecting at least one representative feature from each of the two or more subsets; estimating a warping parameter for the image using the at least one representative feature from each of the two or more subsets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method, comprising:
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automatically identifying a first subset of features of a first image, wherein the first image is selected from a plurality of images; automatically identifying a second subset of features of a second image, wherein the second image is selected from the plurality of images; and estimating warping parameters for the first image and the second image using the first subset of features and the second subset of features, wherein estimating warping parameters for the first image and the second image using the first subset of features and the second subset of features comprises executing a least-square-based congealing algorithm using the first subset of features and the second subset of features. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A method, comprising:
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executing an unsupervised feature selection algorithm, comprising; constructing a graph having features of an image as vertices; determining a connectivity between the vertices using a maximum information compression index; partitioning the graph into two or more subsets of features using a power iteration clustering algorithm; and selecting representative features from each subset of features; and executing an image congealing algorithm using the subsets of features. - View Dependent Claims (16, 17, 18, 19)
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Specification