Abstract:
The present invention is a collation/retrieval system collating a product manufactured by or delivered from a producer or a distributor with a product to be collated comprising: a storage unit that stores an image feature of a predetermined collation area of the product determined in advance at a position relative to a reference section common in every product; a to-be-collated product feature extraction unit that receives an image of the product to be collated and detecting the reference section of the product from the received image to extract an image feature of the collation area determined by reference to the reference section; and a collation unit that collates the stored image feature with the image feature of the collation area of the product to be collated.
Abstract:
An image of an inspection surface of a product shot with a first imaging unit is divided into partial area images. For each partial area, a narrow-angle partial area image shot with a second imaging unit is acquired under shooting conditions in a pre-learning table in which the conditions and IDs are set. For each partial area, the narrow-angle partial area image suitable for inspection is selected, an inspection image is generated, and an anomaly of the inspection surface is detected based on the inspection image. For each partial area, whether each condition is effective is determined based on a frequency of the ID included by the inspection image. For each partial area, whether a predetermined condition is established is determined, and, with respect to the partial area in which the predetermined condition is established, a post-learning table is established in which only the condition determined to be effective is set.
Abstract:
An object management system includes an acquisition means for acquiring an image in which a surface of a registration target object, having a circle and a handwritten character drawn thereon, is captured, a generation means for detecting an ellipse corresponding to the circle from the image and generating a registration image in which the image is applied with projective transformation such that the ellipse becomes a circle, and a registration means for writing the registration image into a storage means as data for determining the sameness of the registration target object.
Abstract:
A surface property estimation system includes an image acquisition means for acquiring an image of a surface of an object, an estimation means for estimating a surface property from the acquired image by using an estimation model obtained through machine learning with use of an image of a surface of an object and a surface property shown by the image as training data, an extraction means for extracting, from the acquired image, a feature amount unique to the image, and a registration means for storing the estimated surface property and the extracted feature amount in a storage means in association with each other.
Abstract:
The present invention relates to an information processing device used in an image capture device that illuminates an object with an illuminating unit and images light reflected from the object as a reflection image with an imaging unit. The information processing device includes an irradiation angle determining unit configured to determine an irradiation angle when the illuminating unit illuminates the object based on a tilt statistic that is a value corresponding to tilt distribution of irregularities formed on the surface of the object.
Abstract:
An image collating device that collates a first image and a second image includes a frequency characteristic acquiring unit, a frequency characteristic synthesizing unit, and a determining unit. The frequency characteristic acquiring unit acquires a frequency characteristic of the first image and a frequency characteristic of the second image. The frequency characteristic synthesizing unit generates a synthesized frequency characteristic by synthesizing the frequency characteristic of the first image and the frequency characteristic of the second image. The determining unit calculates a score indicating a degree to which the synthesized frequency characteristic is a wave having a single period, and collates the first image and the second image based on the score.
Abstract:
An individual identifying device includes a conversion unit and an alignment unit. The conversion unit performs frequency conversion on an image obtained by imaging an object. The alignment unit performs alignment of an image for extracting a feature amount for identifying an individual of the object, based on a first subregion in the image after the frequency conversion.
Abstract:
The present invention is a collation/retrieval system collating a product manufactured by or delivered from a producer or a distributor with a product to be collated comprising: a storage unit that stores an image feature of a predetermined collation area of the product determined in advance at a position relative to a reference section common in every product; a to-be-collated product feature extraction unit that receives an image of the product to be collated and detecting the reference section of the product from the received image to extract an image feature of the collation area determined by reference to the reference section; and a collation unit that collates the stored image feature with the image feature of the collation area of the product to be collated.
Abstract:
The present invention is a verification method comprising: designating as a verification area at least a part of a predetermined area of an article that has a textured pattern provided thereto, and previously storing at least one or more image features of the textured pattern of the verification area; acquiring the image feature of the textured pattern that is provided to the verification area of an article to be verified; and verifying the article to be verified by using the acquired image feature and the stored image features.