Described herein are motion smoothing techniques for a display, or display system, such as a head-mounted display (HMD), to account for motion of moving or animating objects in a way that mitigates judder. The display system may be separate from, yet communicatively coupled to, a host computer where a graphics-based application, such as a video game, is outputting frames for rendering on the display system. The host computer may generate motion vectors representing compressed pixel data for transmission to the display system. The motion vectors can be used by the display system to modify pixel data of a frame. The modified pixel data for the frame is “motion-smoothed” for rendering on the display system in a manner that mitigates judder of moving or animating objects.

An apparatus acquires update information indicating a predetermined frame update interval on a moving image at a virtual viewpoint reproduced by updating a virtual viewpoint image at the interval, the virtual viewpoint image being generated using multi-viewpoint images and viewpoint information; acquires frame information of the multi-viewpoint images for use in generating the moving image, the frame information including information of a plurality of frames corresponding to different imaging times; and generates the viewpoint information based on the update information and the frame information, such that the viewpoint information indicating a position of a virtual viewpoint and a direction from the virtual viewpoint updated at an interval longer than the predetermined frame update interval is generated as the viewpoint information for the moving image generated using a smaller number of frames of multi-viewpoint images than frames of virtual viewpoint images forming the moving image.

Systems and/or methods for, for a given pixel (or sub-pixel location) in an image acquired by the camera, finding which projector pixel (or more particularly, which projector column) primarily projected the light that was reflected from the object being scanned back to this camera position (e.g. what projector coordinates or projector column coordinate correspond(s) to these camera coordinates).

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.

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.

An augmented reality glasses device including a pair of transmissive display sections and capable of displaying a path of a tool in a machine tool on the display sections includes a block acquisition section that acquires a program block causing the tool to move and operate, a path determination section that determines a path and a movement direction of the tool in a workpiece coordinate system in accordance with a plurality of the acquired successive time-series program blocks, and a display control section that causes the display sections to stereographically display the determined path and movement direction of the tool.

A peripheral device includes an image sensing module configured to include a plurality of sensors. Each of sensors is arranged on the peripheral device and is configured to capture image data for objects in a real-world space. A processor is part of the peripheral device for determining fixed points in the image data. The fixed points are used to determine changes in spatial position of the peripheral device with reference to the fixed points in the real-world space. In one example, the peripheral device includes a motion sensor to additionally assist in determining the changes in spatial position of the peripheral device.

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.

In one embodiment, a method includes identifying, in each image of a stereoscopic pair of images of a scene at a particular time, every pixel as either a static pixel corresponding to a portion of a scene that does not have local motion at that time or a dynamic pixel corresponding to a portion of a scene that has local motion at that time. For each static pixel, the method includes comparing each of a plurality of depth calculations for the pixel, and when the depth calculations differ by at least a threshold amount, then re-labeling that pixel as a dynamic pixel. For each dynamic pixel, the method includes comparing a geometric 3D calculation for the pixel with a temporal 3D calculation for that pixel, and when the geometric 3D calculation and the temporal 3D calculation are within a threshold amount, then re-labeling the pixel as a static pixel.

A method for processing a video according to the present invention may comprise: generating a plurality of Most Probable Mode (MPM) candidates; determining whether there is an MPM candidate identical to an intra-prediction mode of a current block among the plurality of MPM candidates; obtaining the intra-prediction mode of the current block, based on a result of the determining; and performing an intra-prediction for the current block, based on the intra-prediction mode of the current block.