Abstract: Various factors can degrade the quality of camera images. For example, images can be distorted by rotation, shear, horizontal lens shift, and/or vertical lens shift. Such factors may result in perspective distortion of a subject being captured in a camera image by transforming horizontal and/or vertical lines of the subject and/or subject plane into lines that are at an angle to the horizon and/or the normal to the horizon in the image. Prior techniques that rely on search processes to find a homography for perspective correction in images can be time-consuming and computationally expensive. Moreover, these prior techniques may fail to find a solution that results in a corrected image of sufficient quality. The disclosed techniques overcome these drawbacks by applying fast homography transformations based on deterministic methods to align images that exhibit perspective distortion.

Abstract: A learning apparatus includes a processor that executes a program; and a storage device that stores the program, wherein the processor is configured to execute an acquisition process of acquiring an image data group, and correct data pertaining to sale of each piece of image data in the image data group; and a generation process of generating a learning model that predicts an ease of selling the image data on the basis of the image data group and the correct data acquired during the acquisition process.

Abstract: There is provided a culturing assistance device including: a memory which stores a program; and a processor which executes the program, wherein the processor executes the program to implement: acquiring a plurality of captured images in which cells are captured in time series; calculating a probability that a state of the cells shown in the acquired image is a certain state; reading predetermined state change rule information which is stored in a storage unit and indicates a relationship among a plurality of states of the cells in the time-series; and determining the state of the cell based on the calculated probability and the read state change rule information.

Abstract: A control apparatus that access first cameras capturing a first subject of a first area, and second cameras capturing a second subject of a second area, detects a viewing direction of a spectator group in the first subject on the basis of image data of the first subject captured by any one of first cameras, identifies a focus area in the second area that is focused on by the spectator group on the basis of the viewing direction of the spectator group, identifies a focus subject, focused on by the spectator group, that is present in the focus area on the basis of image data of the second subject captured by each of the second cameras, determines a specific second camera to be a transmission source of image data from among the second cameras on the basis of the focus subject, and transmits image data from the specific second camera.

Abstract: A control apparatus that access first cameras capturing a first subject of a first area, and second cameras capturing a second subject of a second area, detects a viewing direction of a spectator group in the first subject on the basis of image data of the first subject captured by any one of first cameras, identifies a focus area in the second area that is focused on by the spectator group on the basis of the viewing direction of the spectator group, identifies a focus subject, focused on by the spectator group, that is present in the focus area on the basis of image data of the second subject captured by each of the second cameras, determines a specific second camera to be a transmission source of image data from among the second cameras on the basis of the focus subject, and transmits image data from the specific second camera.