Systems, apparatuses, and methods are described for relocalizing a mobile device within an extended reality environment. A subset of a data set, such as a feature pointcloud may be generated based on determining an approximate location of a mobile device. The approximate location may be determined based on data received from one or more sensors in the extended reality environment. Features associated with the approximate location may be included in the subset while other features may be removed. Features extracted from an image taken by the mobile device may be compared with the subset of the data set to relocalize the mobile device.

The present disclosure provides a security control method and device of an application, and an electronic device. The method includes: determining whether running information of the application meets a preset security control condition; calling a preset service if the running information of the application meets the preset security control condition, the preset service being configured to enable the application to run in a trusted execution environment; and executing an authentication service corresponding to the running information of the application in the trusted execution environment.

A distance measurement system includes two or more line pattern generators (LPGs), a camera, and a processor. Each LPG emits a line pattern having a first set of dark portions separated by a respective first set of bright portions. A first line pattern has a first angular distance between adjacent bright portions, and a second line pattern has a second angular distance between adjacent bright portions. The camera captures at least one image of the first line pattern and the second line pattern. The camera is a first distance from the first LPG and a second distance from the second LPG. The processor identifies a target object illuminated by the first and second line patterns and determines a distance to the target object based on the appearance of the target object as illuminated by the first and second line patterns.

A light-emission device includes: a first light emitting element chip; a second light emitting element chip having a light output higher than a light output of the first light emitting element chip, the second light emitting element chip being configured to be driven independently from the first light emitting element chip and arranged side by side with the first light emitting element chip; and a light diffusion member including a first region provided on an emission path of the first light emitting element chip and a second region provided on an emission path of the second light emitting element chip, and having a diffusion angle at the second region larger than a diffusion angle at the first region.

A depth calculation processor, a data processing method, and a 3D image device are disclosed herein. The depth calculation processor includes: at least two input ports configured to receive a first image data, wherein the first image data comprises at least a structured light image acquired under projection of a structured light; a data processing engine configured to perform a calculation process on the first image data to output a second image data, wherein the second image data comprises at least a depth map, wherein the data processing engine comprises at least a depth processing engine configured to perform a depth calculation process on the structured light image to obtain the depth map; and at least an output port coupled to the data processing engine and configured to output the second image data to a host device.

An optical touch apparatus and a width detecting method thereof are provided. The optical touch apparatus includes at least two sensing components, a light emitting component, and a width detecting module. The sensing components are configured to sense a touch object located on a touch plane. The light emitting component is configured to be a light source of the touch plane and is disposed adjacent to one of the sensing components. The width detecting module is coupled to the light emitting component and the other of the sensing components. The light emitting component is controlled by the width detecting module to emit a light. The other of the sensing components is controlled by the width detecting module to sense intensity of the light. The width detecting module detects a distance between the sensing components according to the sensed intensity of the light.

In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.

Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and/or electrical properties.

The method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.

In one aspect, a method for augmenting a physical environment with projected media content from a virtual environment, using a handheld spatially aware mixed reality projection platform, includes the step of providing a handheld spatially aware mixed-reality projection device. The method includes the step of with a mapping application in the handheld spatially aware mixed-reality projection device. The method includes the step of relocalizing the handheld spatially aware mixed-reality projection device based on a virtual three-dimensional map of a physical environment. The relocalizing generates pose information of the handheld spatially aware mixed-reality projection device in the physical environment with respect to the virtual three-dimensional map. The method includes the step of sharing the set of three-dimensional pose information with a game engine application of the handheld spatially aware mixed-reality projection device.