In various examples, sensor data may be adjusted to represent a virtual field of view different from an actual field of view of the sensor, and the sensor data—with or without virtual adjustment—may be applied to a stereographic projection algorithm to generate a projected image. The projected image may then be applied to a machine learning model—such as a deep neural network (DNN)—to detect and/or classify features or objects represented therein.

In various examples, sensor data may be adjusted to represent a virtual field of view different from an actual field of view of the sensor, and the sensor data—with or without virtual adjustment—may be applied to a stereographic projection algorithm to generate a projected image. The projected image may then be applied to a machine learning model—such as a deep neural network (DNN)—to detect and/or classify features or objects represented therein.

An information processing apparatus includes a processor configured to: record a motion of a user made until a video pause instruction to pause displayed video is given; and display a still image in the video displayed at a second time point earlier than a first time point, the first time point being a time point at which the video pause instruction is received, the second time point being a threshold time point at which acceleration involved with the motion of the user first exceeds a predetermined threshold and which is a most recent threshold time point.

In an aspect, an image processing apparatus includes a processor and a memory in which a plurality of images obtained by capturing images of a building and a three-dimensional model of the building are stored in association with each other. The processor is configured to perform a development process to perform development of the three-dimensional model into a two-dimensional image, an extraction process to extract defect information of the building on the basis of the plurality of images, a mapping process to perform mapping of the defect information to the two-dimensional image, and an output process to output the two-dimensional image to which the mapping is performed.

In an aspect, an image processing apparatus includes a processor and a memory in which a plurality of images obtained by capturing images of a building and a three-dimensional model of the building are stored in association with each other. The processor is configured to perform a development process to perform development of the three-dimensional model into a two-dimensional image, an extraction process to extract defect information of the building on the basis of the plurality of images, a mapping process to perform mapping of the defect information to the two-dimensional image, and an output process to output the two-dimensional image to which the mapping is performed.

An information processing device includes circuitry to obtain coordinates of an attention point in an area of which a video image is to be displayed, based on information indicating a designated area and received from a terminal device, select an image capturing device based on the coordinates of the attention point, and obtain an angle of view in which angles each of which is formed by a corresponding one of two first straight lines and a second straight line are adjusted to have same degrees with each other. Each first straight line connects the image capturing device and a corresponding one of ends of the area. The second straight line connects the image capturing device and the attention point. The circuitry determines a display area adjusted based on the angle of view and transmits, to the terminal device, information on the image capturing device and information on the display area.

An information processing device includes circuitry to obtain coordinates of an attention point in an area of which a video image is to be displayed, based on information indicating a designated area and received from a terminal device, select an image capturing device based on the coordinates of the attention point, and obtain an angle of view in which angles each of which is formed by a corresponding one of two first straight lines and a second straight line are adjusted to have same degrees with each other. Each first straight line connects the image capturing device and a corresponding one of ends of the area. The second straight line connects the image capturing device and the attention point. The circuitry determines a display area adjusted based on the angle of view and transmits, to the terminal device, information on the image capturing device and information on the display area.

Wafer-to-wafer and within-wafer image contrast variations can be identified and mitigated by extracting an image frame during recipe setup and then during runtime at the same location. Image contrast is determined for the two image frames. A ratio of the contrast for the two image frames can be used to determine contrast variations and focus variation.

An inspection apparatus includes an image sensor including a first imaging region and a reference imaging region. The first imaging region includes first pixels which capture an image of an object in a first wavelength band and output first feature quantities each of which corresponds to one of first pixels. The reference imaging region includes reference pixels which capture an image of the object in a reference wavelength band, which overlaps with the first wavelength band, and output reference feature quantities each of which corresponds to one of reference pixels. An image processing device obtains a reflectance of the object in the first wavelength band based on at least one first feature quantity and reference feature quantity and determines physical properties of the object based on the reflectance. The image processing device corrects the image of the object generated according to output from the image sensor based on the at least one first feature quantity and reference feature quantity.

An inspection apparatus includes an image sensor including a first imaging region and a reference imaging region. The first imaging region includes first pixels which capture an image of an object in a first wavelength band and output first feature quantities each of which corresponds to one of first pixels. The reference imaging region includes reference pixels which capture an image of the object in a reference wavelength band, which overlaps with the first wavelength band, and output reference feature quantities each of which corresponds to one of reference pixels. An image processing device obtains a reflectance of the object in the first wavelength band based on at least one first feature quantity and reference feature quantity and determines physical properties of the object based on the reflectance. The image processing device corrects the image of the object generated according to output from the image sensor based on the at least one first feature quantity and reference feature quantity.