Image rectification using sparsely-distributed local features
First Claim
1. A method for rectifying an input digital image including warped textual information, the method implemented at least in part by a data processing system and comprising:
- receiving the input digital image;
automatically analyzing the input digital image using the data processing system to locate a plurality of local features, at least some of the local features including textual features;
locating a sparse set of local image regions corresponding to reliable combinations of spatially-consecutive local features;
determining local orientations of the identified local image regions;
forming a global deformation function based on the determined local orientations;
using the data processing system to form a rectified image by rectifying the input digital image responsive to the global deformation function; and
storing the rectified image in a processor-accessible memory.
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Abstract
This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to locate a plurality of local features, at least some of the local features including textual features. A sparse set of local image regions are located corresponding to reliable combinations of spatially-consecutive local features, and corresponding local orientations are determined. A global deformation function is formed by interpolating between the determined local orientations and is used to form a rectified image.
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Citations
16 Claims
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1. A method for rectifying an input digital image including warped textual information, the method implemented at least in part by a data processing system and comprising:
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receiving the input digital image; automatically analyzing the input digital image using the data processing system to locate a plurality of local features, at least some of the local features including textual features; locating a sparse set of local image regions corresponding to reliable combinations of spatially-consecutive local features; determining local orientations of the identified local image regions; forming a global deformation function based on the determined local orientations; using the data processing system to form a rectified image by rectifying the input digital image responsive to the global deformation function; and storing the rectified image in a processor-accessible memory. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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Specification