Collation apparatus and collation method
First Claim
1. A collation apparatus for collating target data of an image or three-dimensional data of an object with reference data, the collation apparatus characterized by comprising:
- storage means for storing a variation model capable of generating model data of an image or three-dimensional data of an object by adjusting values of a plurality of parameters;
model fitting means for defining, among the plurality of parameters, a parameter representing a judgement target of which sameness between the target data and the reference data is to be judged as a target parameter and other parameters as an external parameter, and for generating target model data that are most similar to the target data and reference model data that are most similar to the reference data based on the variation model under a condition in which the target parameter is set to be the same for the target data and the reference data; and
model goodness-of-fit evaluation means for computing a model goodness of fit of the target model data and the reference model data to the target data and the reference data.
1 Assignment
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Accused Products
Abstract
A 2D model fitting means 1201 estimates values of parameters optimum to generate a probe model image similar to a probe image and a gallery model image similar to a gallery image with an image variation model 1204. At that time, among a plurality of parameters of the image variation model 1204, the value of a parameter of which sameness between the probe image and the gallery image is to be judged as a target parameter is set to be the same for both images. A model goodness-of-fit evaluation means 1202 computes a model goodness of fit for the probe model image and the gallery model image to the probe image and the gallery image under the estimated parameters. A collation means 1203 compares the model goodness of fit with a threshold value to judge the sameness between the probe image and the gallery image.
13 Citations
44 Claims
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1. A collation apparatus for collating target data of an image or three-dimensional data of an object with reference data, the collation apparatus characterized by comprising:
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storage means for storing a variation model capable of generating model data of an image or three-dimensional data of an object by adjusting values of a plurality of parameters; model fitting means for defining, among the plurality of parameters, a parameter representing a judgement target of which sameness between the target data and the reference data is to be judged as a target parameter and other parameters as an external parameter, and for generating target model data that are most similar to the target data and reference model data that are most similar to the reference data based on the variation model under a condition in which the target parameter is set to be the same for the target data and the reference data; and model goodness-of-fit evaluation means for computing a model goodness of fit of the target model data and the reference model data to the target data and the reference data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A collation method of collating target data of an image or three-dimensional data of an object with use of a computer, the collation method characterized by including:
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a first step for the computer to use a variation model capable of generating model data of an image or three- dimensional data of an object by adjusting values of a plurality of parameters, to define, among the plurality of parameters, a parameter representing a judgement target of which sameness between the target data and the reference data is to be judged as a target parameter and other parameters as an external parameter, and to generate target model data that are most similar to the target data and reference model data that are most similar to the reference data based on the variation model under a condition in which the target parameter is set to be the same for the target data and the reference data; and a second step for the computer to compute a model goodness of fit of the target model data and the reference model data to the target data and the reference data. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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33. A program embodied in a non-transitory computer-readable medium for providing a computer for collating target data of an image or three-dimensional data of an object with reference data with functions, the computer having storage means for storing a variation model capable of generating model data of an image or three-dimensional data of an object by adjusting values of a plurality of parameters, the functions including:
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model fitting means for using the variation model stored in the storage means, for defining, among the plurality of parameters, a parameter representing a judgement target of which sameness between the target data and the reference data is to be judged as a target parameter and other parameters as an external parameter, and for generating target model data that are most similar to the target data and reference model data that are most similar to the reference data from the variation model under a condition in which the target parameter is set to be the same for the target data and the reference data; and model goodness-of-fit evaluation means for computing a model goodness of fit of the target model data and the reference model data to the target data and the reference data. - View Dependent Claims (34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44)
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Specification