A method for microscope-based super-resolution includes acquiring a to-be-processed image and at least an auxiliary image, the to-be-processed image includes a target area, the auxiliary image includes an overlapping portion with the target area, and the to-be-processed image and the auxiliary image are both microscope images of a first resolution. The method further includes registering the to-be-processed image and the auxiliary image to obtain a registered image, and extracting one or more high-resolution features from the registered image. The one or more high-resolution features represent image features of the target area in a second resolution, and the second resolution is greater than the first resolution. The method also includes reconstructing, based on the one or more high-resolution features, a target image of the second resolution corresponding to the to-be-processed image of the first resolution. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

A display control apparatus (1) includes: an acquisition unit (6e) configured to acquire an invisible light image showing invisible light in a real space from a sensor; a map generation unit (6a) configured to generate an environment map indicating a shape of the real space based on the invisible light image; and a display control unit (6d) configured to control a display unit (4) such that a virtual object regarding a state of an invisible substance in the real space is superimposed on the real space based on the invisible light image.

A solution for non-invasive determination of supraphysiological body joint kinematics. The solution obtains external images related to a test procedure of the body joint and performs image analysis on the obtained images to define a pattern of a plurality of spatial points in a region of interest. Each individual spatial point is defined by a unique pattern of neighboring surrounding pixels in each image, and the pattern is part of a high-contrast speckle pattern applied to the body joint. The solution identifies displacements of the spatial points in subsequently obtained images by tracing a location of the unique pattern of neighboring pixels in each image in relation to a base image of the body joint, calculates deformation measures from the displacements of the plurality of spatial points, and obtains deformation measures of a reference body joint. The solution compares the deformation measures and determines supraphysiological body joint kinematics from the comparison.

An information processing apparatus includes a movable object detector that detects a movable object from a captured image captured with a fisheye camera, a human determiner that determines whether the movable object is a human by comparing a distance between two predetermined points on an outline of a movable object area including the movable object with a threshold range set based on a height of the human measured at a position of the movable object in the captured image, and a human detector that detects the human from the movable object area including the movable object determined as the human by the human determiner.

A method for ascertaining a suitable deployment of a mobile measuring device within measurement surroundings, wherein first and second measurement surroundings containing first and second object features are automatically optically captured at the first deployment and tracked using a visual inertial system (VIS) and within the scope of changing the deployment. The first and second measurement surroundings are compared, wherein the comparison is based on searching for corresponding first and second object features visible in a certain number and quality in the first and second measurement surroundings, wherein this certain number and quality of corresponding features is a criterion that a registration of the first and second point cloud is possible.

Disclosed are an image display device and a method of controlling an image display device. The image display device includes a motion detection unit for detecting a motion of a user and provides a welcome feedback to the user in the form of a visual signal, an audio signal, or both according to whether the motion of the user is detected or not, thereby drawing attention of the user or switching a display state to reduce power consumption of the image display device. The image display device determines a motion exception event that is not regarded a user motion on the basis of an overall change or a local change in pixel value between image frames, thereby preventing the display panel from being activated by a non-human-related factor such as a sudden change in illuminance or a movement of a periodically operating object.

Disclosed is a method of identifying dementia by at least one processor of a device. The method includes performing a first task that causes a first object to be displayed on a first region of a screen displayed on a user terminal; and when a preset condition is satisfied, performing a second task that causes at least one object, which induces the user's gaze, to be displayed instead of the first object on the screen of the user terminal.

An electronic device for displaying data on a display screen, the device being connectable to the display screen and to an image sensor, the image sensor being operable to capture at least two images of a user. The electronic device includes: a module for displaying data, in particular icons, on the display screen; a module for detecting, via the at least two images taken, a movement towards the screen by at least one finger of the user, and then for calculating a direction of the movement; a module for determining, from a page displayed on the screen and depending on the direction of movement, an area of the screen corresponding to the direction; and a module for controlling an enlargement of the area when the at least one finger approaches the screen.

In a motion analysis apparatus 101, a data input unit 205 acquires a first imaging result and a second imaging result. in the motion analysis apparatus 101, a skeleton recognition unit 206 recognizes skeleton positions of a subject using the first imaging. result acquired by the data input unit 205, and recognizes skeleton positions of the subject using the second imaging result acquired by the data input unit 205. A motion period extraction unit 403 extracts a period from a start of a motion to an end of the motion as a range of data for comparing skeleton feature points recognized by the skeleton recognition unit 206. The similarity calculation unit 401 compares skeleton feature points recognized for an input from a depth camera with skeleton feature points recognized for an input from an RGB camera to calculate similarities, and outputs a determination result based on the similarities.

Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.