An image pickup apparatus that is capable of eliminating change of an image pickup direction by a user during an image pickup operation and of easily obtaining an image that records experience while focusing attention on the experience. An observation direction detection unit is worn on a body part other than a head of a user and detects an observation direction of the user. An image pickup unit is worn on a body and picks up an image. A recording direction determination unit determines a recording direction using a detection result of the observation direction detection unit. A deviation detection unit detects a deviation of the image pickup apparatus with respect to the body. An image recording unit records a part of the image picked up by the image pickup unit in a recording area that is determined in accordance with the recording direction and the deviation.

Video information may define spherical video content having a duration. Spherical video content may define visual content viewable from a point of view as a function of progress through the spherical video content. Path information may define a path selection for the spherical video content. Path selection may include movement of a viewing window within the spherical video content. The viewing window may define extents of the visual content viewable from the point of view as the function of progress through the spherical video content. Time lapse parameter information may define at least two of a time portion of the duration, an image sampling rate, and a time lapse speed effect. A time lapse video may be generated based on the video information, the path information, and the time lapse parameter information.

Disclosed is an electronic device which includes a dynamic vision sensor that includes a first pixel sensing a change in light intensity and generates an event signal based on the sensed change in light intensity, an illuminance estimator that estimates illuminance of a light, and a time delay compensator that calculates a time delay between a first time at which the change in light intensity occurs and a second time at which the first pixel senses the change in light intensity, based on the illuminance of the light, and to compensate for the time delay.

A transfer control apparatus obtains statistics information related to a plurality of captured images captured by a plurality of image capturing apparatuses, obtains image capturing apparatus parameters of the plurality of image capturing apparatuses, determines an abnormality in each image capturing apparatus based on the statistics information and the image capturing apparatus parameters, and controls transfer of a plurality of captured images based on a determination.

A vibration actuator control apparatus includes a control amount output unit. The control amount output unit includes a trained model trained by machine learning configured to output a control amount, if the target speed and a value based on the target position are input to the trained model, to move the contact body relative to the vibrator. The value based on the target position is a value based on a product of first and second values. The first value is a value based on a difference between the target position and a detection position detected from the vibration actuator moved based on the control amount. The second value is a value based on a ratio between the control amount output from the control amount output unit and a value output from the trained model if the target speed and a predetermined value are input to the trained model.

A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

An image processing apparatus includes one or more processors including hardware. The one or more processors are configured to: divide, regarding a plurality of images acquired by capturing images of an imaging subject over time, the respective images into a plurality of regions; calculate, for the respective divided regions, motion vectors by detecting movements of the imaging subject; detect luminances and contrasts of the respective regions and detect specific regions where the detected luminances and contrasts satisfy determination conditions, the determination conditions being that the luminances are equal to or greater than a first threshold and that the contrasts are equal to or less than a second threshold; select the motion vectors to be used by excluding the motion vectors of the detected specific regions from the calculated motion vectors; and generate a combined image by performing position alignment of the plurality of images by using the selected motion vectors.

A blur correction device includes: an acquisition unit that acquires an amount of blur correction used to correct blurring of an image obtained through imaging of an imaging element during exposure for one frame in the imaging element; and a correction unit that corrects the blurring by performing image processing on a correction target image, which is an image for one frame included in a moving image obtained through imaging of the imaging element, based on the amount of blur correction acquired by the acquisition unit during exposure necessary to obtain the correction target image.

The present application discloses an anti-shake method, an anti-shake apparatus, and an electronic device. The method includes: acquiring, in a case that a camera of an electronic device captures a first picture in real time, a shaking parameter of the electronic device; and cropping a first region in the first picture according to a first cropping parameter corresponding to the shaking parameter, and displaying the cropped first picture, where the first picture includes the first region and a second region, the second region is a common region of the first picture and N frames of pictures, the N frames of pictures are pictures captured before the first picture is captured, and N is an integer greater than or equal to 1.

There is provided an image processing device and method, and a program for enabling improvement in image quality in sensor shift imaging. When performing imaging while shifting the pixel phase of an image sensor having a two-dimensional pixel array, an image processing device adds up, for each pixel phase, a plurality of frames imaged in each pixel phase, and generates an addition frame for each pixel phase. The image processing device then combines the addition frames of the respective pixel phases. The present technology can be applied to a sensor shift imaging system.