Disclosed are systems, methods, and non-transitory computer-readable media for adjusting depth of AR content on HUD. A viewing device identifies, based on sensor data, a physical object visible through a transparent display of the vehicle. The sensor data indicates an initial distance of the physical object from the vehicle. The viewing device gathers virtual content corresponding to the physical object and generates an initial presentation of the virtual content based on the initial distance. The viewing device presents the initial presentation of the virtual content on the transparent display at a position on the transparent display corresponding to the physical object. The viewing device determines, based on updated sensor data, an updated distance of the physical object and generates an updated presentation of the virtual content based on the updated distance. The viewing device presents the updated presentation of the virtual content on the transparent display of the vehicle.

In an approach to calculating, filtering and presenting items, one or more computer processors identify a location of a user. The one or more computer processors determine one or more items that are relevant to the user. The one or more computer processors determine whether the user is within a threshold distance of the one or more items. The one or more computer processors calculate one or more weights for each of the one or more items. The one or more computer processors identify a device to present the one or more items. The one or more computer processors present the one or more weighted items based on the capabilities of the identified device.

The image data transmission method provided by embodiments of the present disclosure is used in the image processing device, and includes steps of: acquiring a fixation region and a non-fixation region on a display screen of the display device; compressing image data of a to-be-displayed image corresponding to the non-fixation region to acquire image data at a second resolution; and combining the image data at the second resolution with image data of the to-be-displayed image at a first resolution corresponding to the fixation region, and outputting the combined image data to the display device, the first resolution being substantially greater than the second resolution.

Rotation between landscape and portrait modes or vice versa may be supported in wireless display interfaces coupled to a platform by having the platform sense rotation change in the platform or in the display. This enables counter rotation of the frame buffer or rotated rendering of the content to ensure that content is presented upright to the end user.

Systems, apparatuses, and methods may provide for technology to process multi-resolution images by identifying pixels at a boundary between pixels of different resolutions, and selectively smoothing the identified pixels.

Techniques for compressing images based on context are provided. A first image and a second image may be identified for display on a client device. One or more contexts of the first image may be identified. One or more contexts of the second image may be identified. A first image quality for the first image may be determined based on the one or more contexts of the first image. A second image quality for the second image may be determined based on the one or more contexts of the second image. The first image may be compressed at the first image quality and the second image at the second image quality. The compressed first image and the compressed second image may be transmitted to the client device.

A processor of a wearable device is provided. The processor includes obtaining posture information of the wearable device in a space including the wearable device, based on classification information for selecting at least one feature point within pixels based on differences between pixels included in a first frames output from a first camera, identifying resolutions of each of a plurality of areas included in field-of-view (FoV) formed based on a display, based on the number of feature points obtained in each of the plurality of areas by the classification information, and changing resolution, among resolutions identified based on gaze information indicating gaze of user wearing the wearable device, corresponding to a first area, among a plurality of areas, to resolution larger than resolution corresponding to second area.

Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec includes a plenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only-as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

An image processing method includes a first device that receives request information from a second device The first device obtains location information of M key points in a to-be-transmitted image and determines a target display area in the to-be-transmitted image based on the request information and the location information of the M key points and the first device sends target display area information to the second device to enable the second device to process the to-be-transmitted image into a target display image based on the target display area information. The second device receives the target display area information, processes the transmitted image into the target display image based on the target display area information, and presents the target display image on a display area of the second device.

Provided is a pavement nondestructive detection and identification method based on small samples, including: constructing an original dataset, dividing the original dataset into several patch blocks, sampling the patch blocks, and obtaining samples of the patch blocks; inputting the samples of the patch blocks into a Transformer model for feature extraction and target reconstruction, and obtaining a trained Transformer model; and based on the trained Transformer model, detecting input pavement sample images.