Abstract: The present disclosure provides a method for producing a microchannel device, which can form a channel that has high hydrophobicity, high solvent resistance as well, and also resistance to heat and damage, on demand with high accuracy, and produces the microchannel device at a low cost, while having high productivity. The method for producing a microchannel device includes: forming a channel pattern from a hydrophobic resin on a porous substrate by an electrophotographic method; melting the channel pattern by heat to allow the channel pattern to permeate into the porous substrate, thereby forming a channel in the inside of the porous substrate.

Abstract: A visitor management system, which can accurately determine if a visitor presents a proper ticket for the visitor's personal attribute, includes: a reader configured to read ticket information in a ticket medium; a camera configured to capture an image of the visitor; a control device configured to acquire a personal attribute of the visitor from the captured image, determine if consistency is achieved between the ticket information from the reader and the acquired personal attribute, and generate a management screen including determination result information; and a display configured to display the management screen. The determination result information generated by the control device may include a number of persons for each ticket type and a number of persons for each personal attribute, and inconsistency information indicating that consistency is not achieved.

Abstract: A collation device is configured to include a processor, and a storage unit that stores a predetermined determination condition in advance, under which a photographic image which is an image obtained by imaging a photograph of the subject is capable of being eliminated, the processor is configured to detect brightness distribution of a face image obtained by imaging an authenticated person with an imaging unit, determine whether or not the detected brightness distribution satisfies a determination condition, and perform face authentication using the face image satisfying the determination condition.

Abstract: Collation device is configured to include a processor, and a storage unit that stores a blurring amount which is set in advance for collation in association with the registered image in advance, in which the processor blurs a face image obtained by imaging an authenticated person with imaging unit with a blurring amount for collation in association with a registered image corresponding to the face image, and uses the image blurred with the blurring amount for collation to perform face authentication. The blurring amount for collation is set such that, a real image blurred by the blurring amount can be authenticated but a photographic image blurred by the blurring amount cannot be authenticated, the real image being a face image obtained by imaging a real face of an authenticated person and the photographic image being a face image obtained by imaging a face photograph of the authenticated person.

Abstract: A collator includes at least one processor and a storage unit storing a plurality of registered face images, the processor performs a partial collation for collating a feature quantity of a first target area excluding partial areas in each of the plurality of registered face images with a feature quantity of a second target area excluding a partial area in a search face image to be searched, and displays a result of the partial collation.

Abstract: Collation device is configured to include a processor, and a storage unit that stores a blurring amount which is set in advance for collation in association with the registered image in advance, in which the processor blurs a face image obtained by imaging an authenticated person with imaging unit with a blurring amount for collation in association with a registered image corresponding to the face image, and uses the image blurred with the blurring amount for collation to perform face authentication. The blurring amount for collation is set such that, a real image blurred by the blurring amount can be authenticated but a photographic image blurred by the blurring amount cannot be authenticated, the real image being a face image obtained by imaging a real face of an authenticated person and the photographic image being a face image obtained by imaging a face photograph of the authenticated person.

Abstract: A collation device is configured to include a processor, and a storage unit that stores a predetermined determination condition in advance, under which a photographic image which is an image obtained by imaging a photograph of the subject is capable of being eliminated, the processor is configured to detect brightness distribution of a face image obtained by imaging an authenticated person with an imaging unit, determine whether or not the detected brightness distribution satisfies a determination condition, and perform face authentication using the face image satisfying the determination condition.

Abstract: A collator includes at least one processor and a storage unit storing a plurality of registered face images, the processor performs a partial collation for collating a feature quantity of a first target area excluding partial areas in each of the plurality of registered face images with a feature quantity of a second target area excluding a partial area in a search face image to be searched, and displays a result of the partial collation.

Abstract: Provided is a cosmetic assist device that can extract a cosmetic technique for making a user's face look like a target face image. The device includes an image capturing unit for capturing a face image of a user, an input unit for inputting a target face image, a synthesized face image generating unit for generating a plurality of synthesized face images obtained by applying mutually different cosmetic techniques on the face image of the user, a similarity determination unit for determining a degree of similarity between each synthesized face image and the target face image, and a cosmetic technique extraction unit for extracting one of the cosmetic techniques that was used to obtain the synthesized face image determined to have a highest degree of similarity by the similarity determination unit.

Abstract: A face recognition device includes: an image capture unit, an area detection unit, a feature amount extraction unit, a distance estimation unit and a feature amount update unit. The image capture unit is configured to capture an image of an object. The area detection unit is configured to detect a given area of the object based on an image obtained as an image capture result of the image capture unit. The feature amount extraction unit is configured to extract a feature amount within the given area detected by the area detection unit. The distance estimation unit is configured to estimate a distance between the image capture unit and the given area. The feature amount update unit is configured to update the feature amount extracted by the feature amount extraction unit based on the distance estimated by the distance estimation unit.

Abstract: Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.

Abstract: A category selection portion selects a face orientation based on an error between the positions of feature points (the eyes and the mouth) on the faces of each face orientation and the positions of feature points, corresponding to the feature points on the faces of each category, on the face of a collation face image. A collation portion collates the registered face images of the face orientation selected by the category selection portion and the collation face image with each other, and the face orientations are determined so that face orientation ranges where the error with respect to each individual face orientation is within a predetermined value are in contact with each other or overlap each other. The collation face image and the registered face images can be more accurately collated with each other.

Abstract: Provided is a cosmetic assist device that can extract a cosmetic technique for making a user's face look like a target face image. The device includes an image capturing unit for capturing a face image of a user, an input unit for inputting a target face image, a synthesized face image generating unit for generating a plurality of synthesized face images obtained by applying mutually different cosmetic techniques on the face image of the user, a similarity determination unit for determining a degree of similarity between each synthesized face image and the target face image, and a cosmetic technique extraction unit for extracting one of the cosmetic techniques that was used to obtain the synthesized face image determined to have a highest degree of similarity by the similarity determination unit.

Abstract: Provided is a transition area detection device capable of detecting, with high precision, a transition area in a space without using a positioning sensor. The transition area detection device has a corresponding point search-use feature point selection unit for selecting feature points used for determining a reference image from among feature points of an input image (captured image), a geometric transformation parameter calculation-use feature point selection unit for selecting feature points used for calculating geometric transformation parameters from among feature points of the input image and feature points of the reference image, and a degree of similarity calculation-use feature point selection unit; for selecting feature points used for obtaining a degree of similarity between the captured image and the reference image from among the feature points of the input image and the feature points of the reference image.

Abstract: A people counting device includes: a person presence region extraction unit which extracts a region in which a person is present by performing person detection in relation to an input image; a person presence state estimation unit which estimates a person presence state from an extraction result; a portion detector selection unit which selects a type of portion detector to be used for people count measurement based on the estimation result, and outputs portion detector information. The people counting device further includes: a portion detection process unit which performs a portion detection process for detecting a portion of a person based on the portion detector information; and a people counting unit which obtains a number of people within the input image from a portion detection process result.

Abstract: Provided is an image search system with which, while preserving search precision, it is possible to alleviate transmission volume. A search server acquires from a recorder only low-dimension data which normally has a low data volume. When the density of low-dimension image data within a feature space is greater than or equal to a prescribed threshold value, that is to say, when the number of dimensions for carrying out an inter-image identification with only the low-dimension data is insufficient, the search server acquires from the recorder high-dimension image data for the low-dimension data. Thus, while preserving search precision, it is possible to alleviate data transmission volume of a communication path.

Abstract: There is provided a person attribute estimation system capable of accurately estimating an attribute of a person according to an environment in which a person who is the target of attribute estimation is to be captured. The person attribute estimation system includes a camera, an attribute estimation unit for estimating an attribute of a person shown in the image generated by the camera, by using an estimation model, a pseudo-site image generation unit for generating a pseudo-site image by processing data of a standard image which is a person image according to image capturing environment data indicating an image capturing environment of the attribute estimation target person by the camera, and an estimation model relearning unit for performing learning of the estimation model by using the pseudo-site image.

Abstract: Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.

Abstract: A people counting device includes: a person presence region extraction unit which extracts a region in which a person is present by performing person detection in relation to an input image; a person presence state estimation unit which estimates a person presence state from an extraction result; a portion detector selection unit which selects a type of portion detector to be used for people count measurement based on the estimation result, and outputs portion detector information. The people counting device further includes: a portion detection process unit which performs a portion detection process for detecting a portion of a person based on the portion detector information; and a people counting unit which obtains a number of people within the input image from a portion detection process result.

Abstract: Provided is a transition area detection device capable of detecting, with high precision, a transition area in a space without using a positioning sensor. The transition area detection device has a corresponding point search-use feature point selection unit for selecting feature points used for determining a reference image from among feature points of an input image (captured image), a geometric transformation parameter calculation-use feature point selection unit for selecting feature points used for calculating geometric transformation parameters from among feature points of the input image and feature points of the reference image, and a degree of similarity calculation-use feature point selection unit; for selecting feature points used for obtaining a degree of similarity between the captured image and the reference image from among the feature points of the input image and the feature points of the reference image.