Abstract:
An imaging unit, an extraction unit, a feature amount pair generation unit, and an imaging parameter adjustment unit are included. The imaging unit acquires images obtained by imaging each of N (N≥3) types of objects a plurality of times by setting a value of a specific imaging parameter, among a plurality of types of imaging parameters, as a certain candidate value and changing a value of the remaining imaging parameter. The extraction unit extracts a feature amount from each of the images. The feature amount pair generation unit generates, as a first feature amount pair for each of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from images of objects of the same type, and generates, as a second feature amount pair for every combination of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from a images of objects of the different types. The imaging parameter adjustment unit generates a first distribution that is a distribution of collation scores of the first feature amount pairs, generates a second distribution that is a distribution of collation scores of the second feature amount pairs, and on the basis of a degree of separation between the first distribution and the second distribution, determines the propriety of adopting the candidate value.
Abstract:
A system includes: an acquiring unit that acquires an image of an n-dimensional symbol; a first image capturing unit that captures an image of a random pattern on a surface of an object; a storing unit that stores the image of the n-dimensional symbol and a first image that is the image of the random pattern captured by the first image capturing unit in a manner that the images are associated with each other; a second image capturing unit that captures an image of a random pattern on a surface of an object; a matching unit that performs matching of the image captured by the second image capturing unit against the first image stored by the storing unit; and a displaying unit that displays the image of the n-dimensional symbol associated with the first image stored by the storing unit based on the result of the matching.
Abstract:
An individual identifying device includes a plurality of generation units and an imaging unit. The generation units generate a pattern on an object. The imaging unit acquires an image of the pattern in conjunction with generation of the pattern.
Abstract:
An object management device manages an object based on a microscopic pattern on the surface of the object included in an image of the surface of the object. The object management device has a position correction unit. The position correction unit aligns the image based on the microscopic pattern appearing in common on a plurality of objects.
Abstract:
The present invention is an identification method comprising: with at least a part of a skeleton part of an identification mark attached to a component or a product defined as a matching area, identifying the component, product, or product having the component as one of its constituent elements using a textured pattern formed in the matching area.
Abstract:
The invention in this application is an information acquisition/identification system provided with an image-feature storing unit, an extracting unit, an acquiring unit, and an identifying unit. The image-feature storing unit stores image features of texture patterns formed on components or products. The extracting unit extracts an information-label image and a texture-pattern image from a taken image containing at least the following: an information label that displays information regarding a component, a product, or a product comprising said component; and a texture pattern formed on said component or product. The acquiring unit acquires, from the extracted information-label image, the aforementioned information regarding the component or product. The identifying unit identifies the component, product, or component-comprising product by matching image features of the extracted texture-pattern image against the image features stored by the image-feature storing unit.
Abstract:
Provided is to manage distribution of a product equipped with a component using dissimilarity on a surface of the component caused by differences between parameters in a manufacturing device and a manufacturing step. In the present invention, clustering a distribution information log database in which an image feature of a pattern formed on a surface of a component is related with at least one of product information regarding a product equipped with the component and distribution information regarding distribution of the product, based on the image feature; and analyzing, using statistical processing, one or both of the distribution information and product information related with the image feature belonging to each group obtained by the clustering.
Abstract:
The present invention addresses the problem of providing technology that makes it possible to perform verification for the purposes of distribution management, authenticity assessment, and the like of merchandise without building an RFID chip into each of a plurality of fasteners. The present invention is characterized in that image characteristics of a component of a product to be verified are acquired and the product to be verified is verified on the basis of the acquired image characteristics of the component.
Abstract:
An individual identification system includes an acquiring means and a determining means. The acquiring means is configured to acquire a matched image obtained by shooting part of a predetermined region of a matching target object. The determining means is configured to calculate a score representing a degree to which a partial image similar to the matched image exists in a registration image obtained by shooting a predetermined region of a registration target object, and determine based on the score whether or not the matching target object is identical to the registration target object.
Abstract:
An individual identification apparatus includes a setting means for setting an imaging condition for imaging a matching area of an object by a camera, an acquisition means for acquiring a matching image that is an image obtained by imaging the matching area of the object by the camera, a matching means for performing matching between the matching image and a registration image registered in advance, and a control means. The control means repeats processing of acquiring the matching image by the acquisition means and matching between the matching image and the registration image by the matching means, while changing the imaging condition set by the setting means, and determines an imaging condition in which a matching degree between the matching image and the registration image becomes a preset threshold or larger. The matching means identifies an individual based on the matching image captured under the determined imaging condition.