Abstract: An image pickup apparatus capable of setting a focus detection area to an area that a user wants to set for a detectable subject is provided. The image pickup apparatus comprising a first detecting unit configured to detect an area, which corresponds to at least a part of a subject area within an image and shows subject characteristics, as a first local area, a second detecting unit configured to detect an area, which corresponds to at least a part of the subject area and shows photographing scene characteristics, as a second local area, and a local area selecting unit configured to select one of the first local area and the second local area as an area to be focused according to information about a photographing scene of a subject in a case that both the first local area and the second local area are detected by the first detecting unit and the second detecting unit.

Abstract: An image processing apparatus includes an area setter configured to set a target area in a first image among a plurality of captured images acquired by imaging at different time from each other, an area detector configured to detect a corresponding area relevant to the target area in a plurality of second images among the plurality of captured images, a focus state acquirer configured to acquire focus states of the target area and the corresponding area, and a classification processor configured to perform classification processing that classifies the plurality of captured images into a plurality of groups according to the focus states.

Abstract: A liquid level detecting device (21) includes a venting tube (27) located on an upper side (other side) of a case (22) opposite a water flow hole (25) and an ultrasonic sensor (23) and provided so as to penetrate a side surface portion (22A) of the case (22). In addition, the venting tube (27) is provided with external venting holes (28) that are open outward of the case (22) and an internal venting hole (29) that is open on the upper side (other side) of the case (22) within the case (22) and in communication with the external venting holes (28).

Abstract: An image processing apparatus includes a generating unit that generate a virtual space image, which is an image of a virtual space, an output unit that outputs a range to be captured in the virtual space and a marker indicating a position in the range to be captured where focusing is performed to a display device, and a control unit that controls the virtual space image so that, in response to an operation of an operation device for performing a movement operation of a viewpoint, which is a position where shooting in the virtual space is performed, in the virtual space, at least one of movement of the viewpoint in a direction indicated by the marker and movement of the viewpoint a distance that the focusing is performed is performed.

Abstract: An image generation apparatus includes a generating unit that generates a virtual space image, a first obtaining unit that obtains operation information for a camera of a user, a second obtaining unit that obtain information relating to the camera, a third obtaining unit that obtains information relating to a subject, and a changing unit that changes correction for the virtual space image captured with the camera, based on at least one of the information obtained from the first to third obtaining units.

Abstract: There is provided an inference apparatus. An inference unit performs inference with use of a machine learning model based on a subject region including a subject within an image obtained through shooting, and on a plurality of distance information pieces detected from a plurality of focus detection regions inside the subject region, thereby generating an inference result indicating a distance information piece corresponding to the subject or a distance information range corresponding to the subject. The machine learning model is a model that has been trained to suppress a contribution made to the inference result by one or more distance information pieces that are not based on the subject among the plurality of distance information pieces.

Abstract: Image pickup apparatuses, control apparatuses, control methods, and storage mediums are provided herein. One or more image pickup apparatuses include an image sensor that has a plurality of focus detecting pixels arranged in rows and columns, each of which receives a light beam passing through a different partial pupil region in an imaging optical system, and which sequentially starts exposure for each row or for each block of a plurality of rows of pixels to perform sequential readout, and one or more processors that operate to perform a first focus detection using output signals from focus detecting pixels having a pupil division direction in a row direction, and a second focus detection using output signals from focus detecting pixels having a pupil division direction in a column direction, and determine whether to use a result of the second focus detection according to drive information of the image sensor.

Abstract: There is provided an inference apparatus. An inference unit performs inference with use of a machine learning model based on a subject region including a subject within an image obtained through shooting, and on a plurality of distance information pieces detected from a plurality of focus detection regions inside the subject region, thereby generating an inference result indicating a distance information piece corresponding to the subject or a distance information range corresponding to the subject. The machine learning model is a model that has been trained to suppress a contribution made to the inference result by one or more distance information pieces that are not based on the subject among the plurality of distance information pieces.

Abstract: An image capture apparatus detects a subject area from an image that has been shot and enlarges a focus detection area in a case where the subject area is not detected or a reliability that the detected subject area corresponds to an intended subject is determined to be low. The image capture apparatus enlarges the focus detection area based on the distances previously obtained by the obtainment unit.

Abstract: An image processing apparatus detects, from an image, a subject(s) of a first type and a subject(s) of a second type. The apparatus further detects a posture for each of the subject(s) of the first type. The apparatus then obtains, for each of the subject(s) of the first type, reliability that the subject is a main subject, based on the posture, and obtains a focus condition for each of the subject(s) of the first type and each of the subject(s) of the second type. The apparatus determines, based on the reliability and the focus condition, a main subject from the subject(s) of the first type and the subject(s) of the second type detected from the image.

Abstract: An image processing apparatus detects, from an image, a subject(s) of a first type and a subject(s) of a second type. The apparatus further detects a posture for each of the subject(s) of the first type. The apparatus then obtains, for each of the subject(s) of the first type, reliability that the subject is a main subject, based on the posture, and obtains a focus condition for each of the subject(s) of the first type and each of the subject(s) of the second type. The apparatus determines, based on the reliability and the focus condition, a main subject from the subject(s) of the first type and the subject(s) of the second type detected from the image.

Abstract: An image pickup apparatus capable of setting a focus detection area to an area that a user wants to set for a detectable subject is provided. The image pickup apparatus comprising a first detecting unit configured to detect an area, which corresponds to at least a part of a subject area within an image and shows subject characteristics, as a first local area, a second detecting unit configured to detect an area, which corresponds to at least a part of the subject area and shows photographing scene characteristics, as a second local area, and a local area selecting unit configured to select one of the first local area and the second local area as an area to be focused according to information about a photographing scene of a subject in a case that both the first local area and the second local area are detected by the first detecting unit and the second detecting unit.

Abstract: An image pickup apparatus capable of setting a focus detection area to an area that a user wants to set for a detectable subject is provided. The image pickup apparatus comprising a first detecting unit configured to detect an area, which corresponds to at least a part of a subject area within an image and shows subject characteristics, as a first local area, a second detecting unit configured to detect an area, which corresponds to at least a part of the subject area and shows photographing scene characteristics, as a second local area, and a local area selecting unit configured to select one of the first local area and the second local area as an area to be focused according to information about a photographing scene of a subject in a case that both the first local area and the second local area are detected by the first detecting unit and the second detecting unit.

Abstract: There is provided an inference apparatus. An inference unit performs inference with use of a machine learning model based on a subject region including a subject within an image obtained through shooting, and on a plurality of distance information pieces detected from a plurality of focus detection regions inside the subject region, thereby generating an inference result indicating a distance information piece corresponding to the subject or a distance information range corresponding to the subject. The machine learning model is a model that has been trained to suppress a contribution made to the inference result by one or more distance information pieces that are not based on the subject among the plurality of distance information pieces.

Abstract: An image processing apparatus includes an area setter configured to set a target area in a first image among a plurality of captured images acquired by imaging at different time from each other, an area detector configured to detect a corresponding area relevant to the target area in a plurality of second images among the plurality of captured images, a focus state acquirer configured to acquire focus states of the target area and the corresponding area, and a classification processor configured to perform classification processing that classifies the plurality of captured images into a plurality of groups according to the focus states.

Abstract: A focus adjustment device obtains a correction value for correcting a result of autofocus, from aberration information regarding at least one of an astigmatism, a chromatic aberration, and a spherical aberration of an imaging optical system, and focus detection information regarding the autofocus. The focus adjustment device then controls a position of a focusing lens that the imaging optical system has, based on a result of the autofocus corrected using the correction value. By correcting the result of the autofocus while considering at least a focus condition of a photographic image, a focus detection error caused by an aberration of the optical system can be accurately corrected.

Abstract: An image pickup apparatus capable of keeping a focus on a subject even when a moving direction of the subject changes in time series is provided. The image pickup apparatus comprising at least one processor and/or circuit configured to function as following units, an image pickup unit configured to pick up a subject image formed by an image pickup optical system and generate image data, a subject detecting unit configured to detect a subject included in the image data generated by the image pickup unit and obtain a subject detection result, a focus detection unit configured to obtain a focus detection result of a focus detection area, which is set based on the subject detection result, and a control unit configured to perform a predictive calculation, which predicts a position of the subject detected by the subject detecting unit at a time after a predetermined period of time has elapsed from a focus detection time, and perform focus control of the image pickup optical system.

Abstract: An image processing apparatus includes an area setter configured to set a target area in a first image among a plurality of captured images acquired by imaging at different time from each other, an area detector configured to detect a corresponding area relevant to the target area in a plurality of second images among the plurality of captured images, a focus state acquirer configured to acquire focus states of the target area and the corresponding area, and a classification processor configured to perform classification processing that classifies the plurality of captured images into a plurality of groups according to the focus states.

Abstract: An image capture apparatus detects a subject area from an image that has been shot and enlarges a focus detection area in a case where the subject area is not detected or a reliability that the detected subject area corresponds to an intended subject is determined to be low. The image capture apparatus enlarges the focus detection area based on the distances previously obtained by the obtainment unit.

Abstract: An image processing apparatus detects, from an image, a subject(s) of a first type and a subject(s) of a second type. The apparatus further detects a posture for each of the subject(s) of the first type. The apparatus then obtains, for each of the subject(s) of the first type, reliability that the subject is a main subject, based on the posture, and obtains a focus condition for each of the subject(s) of the first type and each of the subject(s) of the second type. The apparatus determines, based on the reliability and the focus condition, a main subject from the subject(s) of the first type and the subject(s) of the second type detected from the image.