Patent classifications
H04N23/675
Control-Tower-Enabled Digital Product Network System for Value Chain Networks
A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control memory.
Control apparatus, control method, and recording medium
A control apparatus configured to control an image-capturing apparatus executes focus adjustment of the image-capturing apparatus in response to detection of a specific marker pattern from an image of an area to be focused by the image-capturing apparatus in an image acquired by image-capturing of the image-capturing apparatus.
ENDOSCOPE PROCESSOR, STORAGE MEDIUM, AND CONTROL METHOD OF FOCUSING LENS
An endoscope processor includes a processor that can be connected to an endoscope including a moving mechanism of a focusing lens included in an objective optical system and an image pickup apparatus. The processor is configured to determine whether or not a transition has been made from a screening state to a proximity state based on positional information of the focusing lens and an image in a proximity determination mode when a variation in an image height in an effective image range with control of the moving mechanism is 1% or less, and when it is determined that a transition has been made to the proximity state, the processor is configured to end the proximity determination mode and control the moving mechanism in an autofocus mode.
Object Depth Estimation and Camera Focusing Techniques for Multiple-Camera Systems
Various embodiments disclosed herein include techniques for operating a multiple camera system. In some embodiments, a primary camera may be selected from a plurality of cameras using object distance estimates, distance error information, and minimum object distances for some or all of the plurality of cameras. In other embodiments, a camera may be configured to use defocus information to obtain an object distance estimate to a target object closer than a minimum object distance of the camera. This object distance estimate may be used to assist in focusing another camera of the multi-camera system.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Provided is an information processing device including an image capture unit that captures an image of a subject and converts the image into digital data to generate a captured image, a calculation unit that calculates, for each predetermined area of the captured image, a probability that the subject included in the predetermined area is a main subject desired to be captured by a camera operator, a determination unit that determines the predetermined area in which the probability exceeds a predetermined threshold as a valid data area and that determines a main subject area based on the valid data area, and a focusing unit that focuses on the determined main subject area. Accordingly, it is possible to appropriately bring the main subject into focus.
IMAGING SYSTEM, IMAGING METHOD, AND NON-TEMPORARY COMPUTER-READABLE MEDIUM STORING IMAGING PROGRAM
An imaging system (10) according to the disclosure includes: a first control unit (11) configured to control, in such a way as to fix a focal position in a predetermined position, an iris imaging means for capturing an image focusing on an iris of a target person; an authentication unit (12) configured to authenticate the target person, based on an iris image of the target person being captured by the iris imaging means controlled by the first control unit (11); and a second control unit (13) configured to control the iris imaging means in such a way as to scan a focal position in a predetermined range, in order to re-authenticate the target person when authentication of the target person fails.
IMAGING APPARATUS, METHOD OF CONTROLLING IMAGING APPARATUS, AND PROGRAM
An imaging apparatus includes a control unit that executes control in a manner corresponding to the fact that a state of an image capturing person determined on the basis of line-of-sight information is a gaze target undetermined state in which a gaze target has not been determined.
INFORMATION PROCESSING APPARATUS, LEARNING DEVICE, IMAGING APPARATUS, CONTROL METHOD OF INFORMATION PROCESSING APPARATUS, AND PROGRAM
An information processing apparatus includes a processor and a memory connected to or built in the processor. In a case in which imaging accompanied by a focus operation in which a specific subject is used as a focus target region is performed by an image sensor, the processor outputs specific subject data related to a specific subject image indicating the specific subject in a captured image obtained by the imaging as data used in machine learning.
IMAGE PROCESSING DEVICE, IMAGING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM
An image processing device includes a processor and a memory connected to or built in the processor. The processor recognizes a subject included in a subject group based on image data obtained by imaging the subject group with an imaging apparatus, displays an image indicated by the image data on a display, and displays a plurality of subject regions, which are included in the image, correspond to a plurality of subjects included in the subject group, and satisfy a predetermined condition, in the image in an aspect that is capable of being identified as one object based on a result of recognizing the subject.
ELECTRONIC APPARATUS AND CONTROL METHOD
An electronic apparatus includes at least one processor configured to perform the operations of the following units: a display unit configured to display a captured image, an acquisition unit configured to acquire line-of-sight information including a line-of-sight position of an observer that observes the display unit, a display control unit configured to control display based on the line-of-sight information, and a selection unit configured to select an object based on the line-of-sight information. The display unit highlights a limited area as a part of the captured image based on the line-of-sight information. The selection unit selects an object based on the observer's line-of-sight information about the display.