Abstract: An objective of the present invention is to provide a mode conversion device capable of designing any coupling efficiency and full width at half maximum, and a design method therefor. According to the present invention, a mode conversion device includes a long period grating at a core of an optical fiber through which light is able to propagate in at least two propagation modes. The long period grating satisfies a relationship of Expression C1, where a full width at half maximum FWHM is a wavelength band in which the coupling efficiency is a half of coupling efficiency of mode conversion at a center wavelength, C is coupling efficiency, Lc is a complete coupling length, Lg is a grating length, ? is a grating pitch, and ?? is a propagation constant difference between the two propagation modes at the center wavelength of a mode conversion target. [ Math .

Abstract: A learning model generates a plurality of prototype vectors and generates an integrated similarity vector that indicates similarity between an input image and each prototype for a plurality of prototypes in accordance with similarity between one prototype vector and each pixel vector in a feature map acquired from an CNN. An image processing apparatus obtains prototype belongingness (distributed prototype belongingness) for each image by distributing prototype belongingness of a belonged prototype of each class to each of two or more images that belong to one class. Then, the learning model is subjected to machine learning in accordance with the distributed prototype belongingness of each prototype vector for each image so that each prototype vector is brought closer to any pixel vector in the feature map corresponding to each image.

Abstract: A training method includes: generating a first image by adding noise to a first area; generating a second image by adding noise to a second area; generating a combined image by weighted addition of the first image and the second image; generating a first training label for the first image; generating a second training label for the second image; generating a combined training label by weighted addition of the first training label and the second training label; and generating a learning model by machine learning using the combined image and the combined training label.

Abstract: An information processing method includes processing of: acquiring, from a plurality of time-series images in which an object is captured, first information including at least a plurality of positions or a plurality of sizes of the object; executing prediction processing of predicting second information including at least one of a position or a size of the object at a next time point in a time-series based on the first information and recursively executing the prediction processing based on the first information and the second information to predict the second information of the object at a time point further next to the next time point; executing recognition processing of recognizing motion of the object based on the second information; and determining a total number of times of recursion of the prediction processing based on a result of the recognition processing.

Abstract: An information processing method includes processing of: acquiring, from a plurality of time-series images in which an object is captured, first information including at least a plurality of positions or a plurality of sizes of the object; executing prediction processing of predicting second information including at least one of a position or a size of the object at a next time point in a time-series based on the first information and recursively executing the prediction processing based on the first information and the second information to predict the second information of the object at a time point further next to the next time point; executing recognition processing of recognizing motion of the object based on the second information; and determining a total number of times of recursion of the prediction processing based on a result of the recognition processing.

Abstract: The present disclosure is a vehicle operation input apparatus that performs an input on a vehicle-mounted device that achieves a predetermined function at a plurality of levels. The apparatus obtains, as input content, display content displayed in the first position corresponding to a user input, in which a level setting is displayed, and determines a change amount based on the number of contact points corresponding to the user input.

Abstract: A vehicle operation input apparatus that detects whether a vehicle is stopped, and controls a display to display a level setting display representing a setting of levels of a device installed in the vehicle in the first position on the display surface in mutually different display aspects depending on whether the vehicle is stopped.

Abstract: A technology for displaying images on a displaying apparatus mounted on a vehicle is provided. In response to a predetermined instruction signal, synthetic images viewed from a virtual viewpoint around and above the periphery of the vehicle are generated based on a plurality of images acquired from a plurality of cameras for capturing the periphery of the vehicle. The plurality of synthetic images, in which a position of a viewpoint moves sequentially varies such that the synthetic images move in a circle around the vehicle, are sequentially output to the displaying apparatus. Accordingly, the user monitors the entire circumference of the vehicle from the viewpoint where the user sees the vehicle in front of user's eyes, so that the user can intuitively recognize the positional relation between the vehicle and an obstacle from one screen.

Abstract: A programmable display device connectable to a programmable logic controller in a communicable manner includes a sightline estimate unit, which estimates a direction of a sightline using image data obtained by capturing an image of a person, a display control unit, which displays a screen including an object on a display, a measurement unit, which measures a time period for which the sightline is directed to the object when the sightline is determined to be directed to the object through the estimation, and a storage unit, which stores image identification information identifying the object and time information indicating the measured time period in association with each other. This allows a third person to determine a time period for which a user has gazed at an object.

Abstract: Provided is a programmable display apparatus that enables post-hoc identification of a user who has been permitted to access an application through facial authentication. The programmable display apparatus stores feature data of a face of a user and identification information of the user in association with each other. The programmable display apparatus performs facial authentication based on image data of a user obtained through image capture and on the feature data. The programmable display apparatus permits a user to access the application if the user has been authenticated. The programmable display apparatus stores identification information of the authenticated user and a history indicating a state in which the access has been permitted in association with each other.

Abstract: Provided is a programmable display apparatus that enables post-hoc identification of a user who has been permitted to access an application through facial authentication. The programmable display apparatus stores feature data of a face of a user and identification information of the user in association with each other. The programmable display apparatus performs facial authentication based on image data of a user obtained through image capture and on the feature data. The programmable display apparatus permits a user to access the application if the user has been authenticated. The programmable display apparatus stores identification information of the authenticated user and a history indicating a state in which the access has been permitted in association with each other.

Abstract: A gesture recognition apparatus detecting a gesture from an image and generating for an object device an instruction corresponding to the gesture, the gesture recognition apparatus comprises an image acquiring unit configured to acquire an image; an object part extracting unit configured to extract an object part performing a gesture; an object part shape identifying unit configured to identify a shape of the extracted object part; a representative point determining unit configured to set a representative point that is a point representing a position of the object part; a gesture recognizing unit configured to recognize a gesture, based on a motion of the representative point; and a command generating unit configured to generate an instruction corresponding to the recognized gesture, wherein the representative point determining unit determines a position of a representative point corresponding to the object part, using the identified shape of the object part.

Abstract: Provided is a programmable display apparatus that can permit access to an application through facial authentication, and can display a screen corresponding to an authenticated user after the access is permitted. The programmable display apparatus stores feature data of faces of a plurality of users and screen data for displaying a plurality of screens. The programmable display apparatus performs facial authentication based on image data of a user obtained through image capture and on the feature data. The programmable display apparatus permits a user to access the application if the user has been authenticated. Upon permitting the access, the programmable display apparatus displays, on a display, a screen corresponding to the authenticated user from among the plurality of screens.

Abstract: A gesture recognition device configured to recognize a gesture of a hand from a captured image of a user, having a fingertip candidate detector that detects a fingertip candidate from the image, a finger detector that detects a skin area as a finger, the skin area extending by a predetermined length in a certain direction from the fingertip candidate detected by the fingertip candidate detector, and a gesture type specifying unit that specifies a type of the gesture based on the number of fingers detected by the finger detector.

Abstract: A programmable display device connectable to a programmable logic controller in a communicable manner includes a sightline estimate unit, which estimates a direction of a sightline using image data obtained by capturing an image of a person, a display control unit, which displays a screen including an object on a display, a measurement unit, which measures a time period for which the sightline is directed to the object when the sightline is determined to be directed to the object through the estimation, and a storage unit, which stores image identification information identifying the object and time information indicating the measured time period in association with each other. This allows a third person to determine a time period for which a user has gazed at an object.

Abstract: A transport member includes a shaft portion that extends in one direction and that is disposed in a containing portion, which has a substantially columnar shape extending in the one direction and contains a powder, and a blade portion that includes a body portion having a substantially plate-like shape and a protruding portion having a plate thickness smaller than a plate thickness of the body portion, the body portion having a proximal end, which is fixed to the shaft portion, and a distal end, which is bent by coming into contact with an inner wall of the containing portion, and the protruding portion protruding from the distal end of the body portion.

Abstract: One aspect of the present invention provides a classifier update device that enhances accuracy of the determination made by a classifier with respect to a specific determination target. A feature quantity update unit updates a reference value of a predetermined criterion in the classifier based on target image data including a specific type of target acquired by an image acquisition unit.

Abstract: An image processing device configured to detect a detection target, which is all or a part of a predetermined main body on an image has a detection target detection unit that detects an estimated detection target that the image processing device assumes to be the detection target from the image, a heterogeneous target determination unit that determines whether the estimated detection target detected by the detection target detection unit is an estimated heterogeneous target that the image processing device assumes to be a heterogeneous target, which is all or a part of a main body different in class from the main body, and a detection target determination unit that determines whether the estimated detection target detected by the detection target detection unit is the detection target based on a determination result of the heterogeneous target determination unit.