Image recognition system and recognition method thereof, and program
First Claim
1. An image recognition system including:
- calculation means for calculating each inter-pattern distance between a sub-region of an input image, and a sub-region of a registration image that corresponds to said sub-region of said input image; and
identification means for identifying said input image based on said each inter-pattern distance.
1 Assignment
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Accused Products
Abstract
A task is to correctly classify an input image regardless of a fluctuation in illumination and a state of occlusion of the input image.
Input image sub-region extraction means 2 extracts a sub-region of the input image. Inter-pattern distance calculation means 3 calculates an inter-pattern distance between this sub-region and a sub-region of a registration image pre-filed in dictionary filing means 5 for each sub-region. Region distance value integration means 10 integrates the inter-pattern distances obtained for each sub-region. This is conducted for the registration image of each category. Identification means 4 finds a minimum value out of its integrated inter-pattern distances, and in the event that its minimum value is smaller than a threshold, outputs a category having its minimum distance as a recognition result.
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Citations
106 Claims
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1. An image recognition system including:
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calculation means for calculating each inter-pattern distance between a sub-region of an input image, and a sub-region of a registration image that corresponds to said sub-region of said input image; and
identification means for identifying said input image based on said each inter-pattern distance. - View Dependent Claims (2, 3, 4)
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5. An image recognition method including:
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a calculation step of calculating an inter-pattern distance value between a sub-region of an input image, and a sub-region of a registration image that corresponds to said sub-region of said input image; and
an identification step of identifying said input image based on said inter-pattern distance of each sub-region. - View Dependent Claims (6, 7, 8)
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9. A program for causing:
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calculation means for calculating an inter-pattern distance between a sub-region of an input image, and a sub-region of a registration image that corresponds to said sub-region of said input image; and
identification means for identifying said input image based on said inter-pattern distance of each sub-region to function. - View Dependent Claims (10, 11, 12, 13)
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14. An image recognition method of collating and identifying an input image and a registration image, said image recognition method including:
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an input image sub-region extraction step of employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region of the input image;
an inter-pattern distance calculation step of employing the by-region input feature vector, and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
a region distance value integration step of calculating one integrated distance value, based on the P inter-pattern distance values obtained in said inter-pattern distance calculation step; and
an identification step of employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. An image recognition method of collating and identifying an input image string and a registration image string, said image recognition method including:
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an input image string smoothing step of averaging said input image string in a pixel unit to generate one sheet of an input image;
an input image sub-region extraction step of employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region from said input image;
an inter-pattern distance calculation step of employing the by-region input feature vector, and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
a region distance value integration step of calculating one integrated distance value, based on the P inter-pattern distance values obtained in said inter-pattern distance calculation step; and
an identification step of employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35)
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36. An image recognition method of collating and identifying an input image string and a registration image string, said image recognition method including:
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an input image sub-region extraction step of employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region from said input image string;
an input principal-component generation step of generating by-region input principal-component data from the by-region input feature vector obtained from said input image string;
an inter-pattern distance calculation step of employing the by-region input principal-component data and by-region dictionary principal-component data, which was registered, to calculate P inter-subspace distance values sub-region by sub-region;
a region distance value integration step of calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
an identification step of employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (37, 38, 39, 40, 41, 42, 43, 44)
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45. An image recognition system for collating and identifying an input image and a registration image, said image recognition system including:
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sub-region information storage means for storing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels;
input image sub-region extraction means for employing information of said sub-region information storage means to generate a by-region input feature vector sub-region by sub-region from the input image;
inter-pattern distance calculation means for employing said by-region input feature vector, and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (46, 47, 48, 49, 50, 51, 52, 53, 54)
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55. An image recognition system for collating and identifying an input image and a registration image, said image recognition system including:
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an input image string smoothing means for averaging an input image string in a pixel unit to generate one sheet of an input image;
sub-region information storage means for storing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels;
input image sub-region extraction means for employing information of the sub-region information storage means to generate a by-region input feature vector sub-region by sub-region from the input image;
inter-pattern distance calculation means for employing said by-region input feature vector and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (56, 57, 58, 59, 60, 61, 62, 63, 64)
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65. An image recognition system for collating and identifying an input image and a registration image, said image recognition system including:
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sub-region information storage means for storing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels;
input image sub-region extraction means for employing information of said sub-region information storage means to generate a by-region input feature vector sub-region by sub-region from the input image string;
an input principal-component generation section for generating by-region input principal-component data from the by-region input feature vector obtained from said input image string;
inter-pattern distance calculation means for employing said by-region input principal-component data, and by-region dictionary principal-component data, which was registered, to calculate P inter-subspace distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determining a category to which the input image belongs. - View Dependent Claims (66, 67, 68, 69, 70, 71, 72)
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73. A program of an image recognition system for collating and identifying an input image and a registration image, said program causing:
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input image sub-region extraction means for employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region from said input image;
inter-pattern distance calculation means for employing said by-region input feature vector and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determine a category to which the input image belongs to function. - View Dependent Claims (74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84)
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85. A program of an image recognition system for collating and identifying an input image and a registration image, said program causing:
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input image string smoothing means for averaging an input image string in a pixel unit to generate one sheet of the input image;
input image sub-region extraction means for employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region from the input image;
inter-pattern distance calculation means for employing said by-region input feature vector, and dictionary data, which was registered, to calculate P inter-pattern distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determine a category to which the input image belongs to function. - View Dependent Claims (86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96)
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97. A program of an image recognition system for collating and identifying an input image string and a registration image string, said program causing:
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input image sub-region extraction means for employing arrangement information of P (P is an integer equal to or more than
2) sub-regions consisting of plural pixels to generate a by-region input feature vector sub-region by sub-region from the input image string;
input principal-component generation means for generating by-region input principal-component data from the by-region input feature vector obtained from said input image string;
inter-pattern distance calculation means for employing said by-region input principal-component data and by-region dictionary principal-component data, which was registered, to calculate P inter-subspace distance values sub-region by sub-region;
region distance value integration means for calculating one integrated distance value, based on the obtained P inter-pattern distance values; and
identification means for employing said integrated distance value to determine a category to which the input image belongs to function. - View Dependent Claims (98, 99, 100, 101, 102, 103, 104, 105, 106)
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Specification