In order to improve parallax accuracy and output an accurate distance, this stereo image processing device is provided with: a stereo image capture unit that captures a plurality of images with different viewpoints; a synchronization unit that synchronizes image capture times when the plurality of images are captured; image correction units that parallelize and output the plurality of images captured by the stereo image capture unit; a parallax measurement unit that detects parallax on the basis of the images outputted by the image correction units; and an object detection unit that detects an object on the basis of the parallax measured by the parallax measurement unit, and is further provided with delay amount holding units that each hold, pixel by pixel, delay times from the image capture times synchronized by the synchronization unit, and an object parallax correction unit that corrects the parallax of the object detected by the object detection unit on the basis of the delay times held by the delay amount holding units.

Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image-generating source to provide one or more frames of image data in a time-sequential manner, a light modulator configured to transmit light associated with the one or more frames of image data, a substrate to direct image information to a user's eye, wherein the substrate houses a plurality of reflectors, a first reflector of the plurality of reflectors to reflect transmitted light associated with a first frame of image data at a first angle to the user's eye, and a second reflector to reflect transmitted light associated with a second frame of the image data at a second angle to the user's eye.

An apparatus for detecting a motion of an object in a target space, wherein the object is located at a distance from an image-capturing device which is configured to measure the distance and to provide a sensor signal indicative of the distance, the sensor signal being decomposable in a decomposition including odd harmonics if the object is at rest. The apparatus includes a determining module configured to receive the sensor signal and to generate at least one motion signal which depends on at least one even harmonic of the decomposition of the sensor signal; and a detection module configured to detect the motion of the object based on the at least one motion signal and to provide a detection signal indicating the motion of the object.

A system for three-dimensional image capture while moving. The system includes: an image capture device including at least two digital image sensors placed to capture a stereoscopic image; a processor for obtaining disparity information, associated with the digital images obtained by the image capture device and movement speed of elements in the digital images; a transmitter for sending the digital images to enable control of movement based on the digital images and the associated disparity information; and a controller for controlling the image capture device.

A scanning camera for capturing images along two or more curved scan paths, the scanning camera comprising a camera assembly associated with each scan path, each camera assembly comprising an image sensor and a lens; a scanning mirror; and a drive coupled to the scanning mirror; wherein the drive is operative to rotate the scanning mirror about a spin axis according to a spin angle; the spin axis is tilted relative to each camera optical axis; the scanning mirror is tilted relative to the spin axis and each camera optical axis; the scanning mirror is positioned to reflect an imaging beam into each lens in turn; and each image sensor is operative to capture each image along a respective one of the scan paths by sampling the imaging beam at a corresponding spin angle.

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.

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.

Provided is an electronic device for stabilizing a 360-degree video, the electronic device including a memory storing one or more instructions, and a processor for executing the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instructions to: when a 360-degree video is reproduced, allocate probability values to a plurality of pixels included in a frame of the 360-degree video, based on a possibility that each of the plurality of pixels is included in a user's field of view (FOV), determine a three-dimensional (3D) rotation for the 360-degree video, based on the allocated probability values, and generate a stabilized 360-degree video by applying the 3D rotation to the 360-degree video.

Systems and methods are disclosed for tracking objects in a physical environment using visual sensors onboard an autonomous unmanned aerial vehicle (UAV). In certain embodiments, images of the physical environment captured by the onboard visual sensors are processed to extract semantic information about detected objects. Processing of the captured images may involve applying machine learning techniques such as a deep convolutional neural network to extract semantic cues regarding objects detected in the images. The object tracking can be utilized, for example, to facilitate autonomous navigation by the UAV or to generate and display augmentative information regarding tracked objects to users.