Abstract:
An imaging device includes a solid-state image element and an encapsulation section. The solid-state image element has an imaging region. In the imaging region, the solid-state image element receives light which is transmitted through an imaging target placed on the imaging region. The encapsulation section is placed on a surface, on which the imaging region is formed, so as to enclose the imaging target. The solid-state image element is peelable from the encapsulation section to enable the solid-state image element to be reused.
Abstract:
An image forming apparatus includes an imager that is electrically connected to an image sensor disposed at a position where light that has passed through a sample slice is incident on the image sensor, and an illumination system that emits illumination light successively in different illumination directions relative to a sample slice to illuminate the sample slice with the illumination light and that emits a first light having a peak in a first wavelength range and a second light having a peak in a second wavelength range. The image forming apparatus obtains a plurality of first-color images with the image sensor while the sample slice is being illuminated with the first light serving as the illumination light successively in the different illumination directions. The image forming apparatus obtains at least one second-color image with the image sensor while the sample slice is being illuminated with the second light in at least one of the different illumination directions. The image forming apparatus generates a high-resolution image on the basis of the plurality of first-color images and the at least one second-color image.
Abstract:
Provided is an evaluation method for learning data that facilitates generation of learning data that can contribute to the improvement of the recognition rate of a model. An evaluation method for learning data includes a first evaluation step and a second evaluation step. The first evaluation step is a step of evaluating the performance of learned model machine-learned by using learning data generated by the data extension processing. The second evaluation step is a step of evaluating a parameter on the basis of the evaluation obtained in the first evaluation step and the possible range of the parameter of the data extension processing.
Abstract:
A vehicle-mounted interface device includes a receiver and a determiner. The receiver receives an input from a driver who drives a vehicle. On the basis of the input received by the receiver, the determiner determines whether or not the driver is familiar with a route along which the driver is to drive or is driving the vehicle.
Abstract:
An automation level determination section selects one of automation levels defined at a plurality of stages based on a deviation degree of reliability, the deviation degree corresponding to each of a plurality of kinds of driving behaviors that are estimation results obtained using a driving behavior model. A generator generates presentation information by applying the plurality of kinds of driving behaviors to an output template corresponding to one selected automation level in output templates corresponding to the automation levels defined at the plurality of stages respectively. An output unit outputs the presentation information that is generated.
Abstract:
An image generating system according to an aspect of the present disclosure includes an image obtaining device, an image generating circuit, and an image processing circuit. The image obtaining device includes an illuminating system that irradiates an object included in a module in which the object and an imaging element are integrated together, with light sequentially from a plurality of different radiation directions. The image obtaining device obtains a plurality of images corresponding to the plurality of different radiation directions. The image generating circuit generates a high-resolution image of the object having a higher resolution than each of the plurality of images by combining the plurality of images together. The image processing circuit detects noise resulting from a foreign object located farther from an imaging surface of the imaging element than the object and removes the noise.
Abstract:
An image processing apparatus for estimating a position in an image which an operator who observes the image is likely to observe as the candidate of a next position is provided. The image processing apparatus includes a next observation estimating unit that estimates a position selected from among a plurality of positions using a parameter indicating an operation history and information regarding an estimation result at least at a current time on the basis of a probability value obtained from a predetermined probability distribution and a displayed image generating unit that generates an image to be displayed so that at least the candidate of the next position is visually recognizable.