A method for ascertaining an image of the surroundings of a vehicle. The method includes reading in first image data and at least second image data, the first image data representing image data of a first image recording area of a camera in or on a vehicle and the second image data representing image data from a second image recording area of the camera differing from the first image recording area, and the second image data having been recorded chronologically after the first image data. The method further includes processing the second image data using a vehicle parameter and/or driving parameter, to obtain processed second image data. Finally, the method includes combining the first image data with the processed second image data to obtain the image of the surroundings of the vehicle.

A stroke detection system analyzes images of a person's face over time to detect asymmetric changes in the position of certain reference points that are consistent with sagging or drooping that may be symptomatic of a stroke or TIA. On detecting possible symptoms of a stroke or TIA, the system may alert caregivers or others, and log the event in a database. Identifying stroke symptoms automatically may enable more rapid intervention, and identifying TIA symptoms may enable diagnostic and preventative care to reduce the risk of a future stroke.

A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

A method, a system, and a computer program product for dynamically adjusting sampling of a depth map based on detected motion in a current scene. The method includes capturing real-time scan data at a first resolution by a first camera and a second camera of an image capturing device. The method further includes synchronizing a first plurality of frames of the real-time scan data to create a plurality of synchronized frames at a first frame rate. The method further includes analyzing the synchronized frames to determine whether motion exists. The method further includes, in response to determining motion exists: determining, based on the plurality of synchronized frames, a rate of motion within the current scene; and dynamically calculating a target resolution and a target frame rate for a real-time depth map. The method further includes generating a real-time depth map at the target resolution and target frame rate.

The disclosed computer-implemented method may include (1) receiving a first 2D frame depicting an evolving 3D scene and elements in the evolving 3D scene, (2) receiving a second 2D frame depicting the evolving 3D scene and the elements, (3) deriving 2D motion vectors from the first 2D frame and the second 2D frame that each include an estimated offset from coordinates of an element in the first 2D frame to coordinates of the element in the second 2D frame, (4) receiving depth information for the evolving 3D scene, (5) using the 2D motion vectors and the depth information to extrapolate a synthetic 2D frame, and (6) displaying the synthetic 2D frame to a user. Various other methods, systems, and computer-readable media are also disclosed.

Disclosed is a head-mounted display implementing stereoscopic vision, including a superimposition image controlling section that determines a virtual distance of a superimposition image to be displayed, according to a state of a three-dimensional space in a field of view, a display image generation section that generates data of a display image including the superimposition image in a state in which the superimposition image is placed at the virtual distance in the three-dimensional space, and an output controlling section that outputs the data of the display image to a display panel.

Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

The present disclosure relates to an image processing apparatus, an image processing method, and a program that permit decision as to whether or not calibration of images is necessary. A decision section decides, using a current image captured by a camera and a past image captured by the camera, whether or not it is necessary to calibrate images captured by the camera. The present disclosure is applicable, for example, to a vehicle-mounted camera system that includes an automobile vehicle, two cameras, mounted to a front roof of the automobile vehicle such that imaging regions overlap, and an image processing apparatus, and so on.

Provided is a head-mounted device that includes a housing, first imaging means, and second imaging means. The housing is to be mounted on the head of a user. The first and second imaging means are mounted on the housing to capture images from different angles of view. The head-mounted device receives an image captured by the first imaging means, detects an image portion corresponding to a body portion of the user from the received image, and estimates, based on information indicative of the detected image portion, a possible existence range of a predetermined part of the body of the user within an image captured by the second imaging means.

An apparatus for processing a depth map comprises a receiver (203) receiving an input depth map. A first processor (205) generates a first processed depth map by processing pixels of the input depth map in a bottom to top direction. The processing of a first pixel comprises determining a depth value for the first pixel for the first processed depth map as the furthest backwards depth value of: a depth value for the first pixel in the input depth map, and a depth value determined in response to depth values in the first processed depth map for a first set of pixels being below the first pixel. The approach may improve the consistency of depth maps, and in particular for depth maps generated by combining different depth cues.