Image filling methods
First Claim
Patent Images
1. A computer-implemented image filling method for use in a computer, wherein the computer is programmed to perform the steps of:
- capturing a plurality of images corresponding to a target object or a scene at various angles;
calculating an epipolar geometry relationship between a filling source image and a specific image within the images;
rectifying the filling source image and the specific image according to the epipolar geometry relationship; and
patching at least one filling target area in the rectified specific image according to the rectified filling source image,wherein the method of calculating the epipolar geometry relationship comprises the steps of;
determining a plurality of first characteristic points in the specific image;
determining a plurality of second characteristic points in the filling source image;
determining a plurality of corresponding points within the first characteristic points and the second characteristic points;
determining an optimum group of the corresponding points for the specific image and the filling source image; and
calculating a fundamental matrix for the epipolar geometry relationship according to the optimum group of the corresponding points.
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Abstract
Image filling methods. A plurality of images corresponding to a target object or a scene are captured at various angles. An epipolar geometry relationship between a filling source image and a specific image within the images is calculated. The filling source image and the specific image are rectified according to the epipolar geometry relationship. At least one filling target area in the rectified specific image is patched according to the rectified filling source image.
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Citations
24 Claims
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1. A computer-implemented image filling method for use in a computer, wherein the computer is programmed to perform the steps of:
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capturing a plurality of images corresponding to a target object or a scene at various angles; calculating an epipolar geometry relationship between a filling source image and a specific image within the images; rectifying the filling source image and the specific image according to the epipolar geometry relationship; and patching at least one filling target area in the rectified specific image according to the rectified filling source image, wherein the method of calculating the epipolar geometry relationship comprises the steps of; determining a plurality of first characteristic points in the specific image; determining a plurality of second characteristic points in the filling source image; determining a plurality of corresponding points within the first characteristic points and the second characteristic points; determining an optimum group of the corresponding points for the specific image and the filling source image; and calculating a fundamental matrix for the epipolar geometry relationship according to the optimum group of the corresponding points. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A machine-readable storage medium comprising a program, which, when executed, causes a device to perform an image filling method, the method comprising:
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capturing a plurality of images corresponding to a target object or a scene at various angles; calculating an epipolar geometry relationship between a filling source image and a specific image within the images; rectifying the filling source image and the specific image according to the epipolar geometry relationship; and patching at least one filling target area in the rectified specific image according to the rectified filling source image, wherein the method of calculating the epipolar geometry relationship comprises; determining a plurality of first characteristic points in the specific image; determining a plurality of second characteristic points in the filling source image; determining a plurality of corresponding points within the first characteristic points and the second characteristic points. determining an optimum group of the corresponding points for the specific image and the filling source image; and calculating a fundamental matrix for the epipolar geometry relationship according to the optimum group of the corresponding points. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification