Apparatus and method for detecting key point using high-order laplacian of gaussian (LoG) kernel
First Claim
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1. A method of detecting a key point of an image, the method comprising:
- calculating a high-order Laplacian of Gaussian (LoG) operator by sequentially differentiating an LoG operator with respect to x and v of an image;
generating the high-order LoG kernel based on the high-order LoG operator;
generating a scale space based on the high-order LoG kernel; and
detecting the key point by comparing a current pixel in the scale space to pixels adjacent to the current pixel,wherein the high-order LoG kernel is a mask for performing a convolution on a function using the high-order LoG operator.
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Abstract
Provided is an apparatus and method for detecting a key point using a high-order Laplacian of Gaussian (LoG) kernel. The high-order LoG kernel is generated based on an LoG operator which is calculated by sequentially differentiating an LoG operator with respect to x and y of an image. A scale space is generated based on the high-order LoG kernel and the key point is detected by comparing a current pixel in the scale space to pixels adjacent to the current pixel.
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Citations
10 Claims
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1. A method of detecting a key point of an image, the method comprising:
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calculating a high-order Laplacian of Gaussian (LoG) operator by sequentially differentiating an LoG operator with respect to x and v of an image; generating the high-order LoG kernel based on the high-order LoG operator; generating a scale space based on the high-order LoG kernel; and detecting the key point by comparing a current pixel in the scale space to pixels adjacent to the current pixel, wherein the high-order LoG kernel is a mask for performing a convolution on a function using the high-order LoG operator. - View Dependent Claims (2, 4, 5)
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3. The method of 1, wherein the generating of the scale space comprises generating the scale space by performing a convolution operation on the image by changing a σ
- value comprised in a high-order LoG operator to kσ
, k2σ
, k3σ
, and k4σ
, using a predetermined constant k.
- value comprised in a high-order LoG operator to kσ
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6. An apparatus for detecting a key point of an image, the apparatus comprising:
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a processor configured to generate a high-order Laplacian of Gaussian (LoG) kernel using an LoG operator and detect a key point of an image using the high-order LoG kernel, wherein the processor is configured to calculate a high-order LoG operator by sequentially differentiating the LoG operator with respect to x and y of an image and generate the high-order LoG kernel based on the high-order LoG operator and generate a scale space based on the high-order LoG kernel and detect the key point by comparing a current pixel in the scale space to pixels adjacent to the current pixel, and the high-order LoG kernel is a mask for performing a convolution on a function using the high-order LoG operator. - View Dependent Claims (7, 8, 9, 10)
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Specification