Abstract: In one example in accordance with the present disclosure, a mobile device is described. The example mobile device includes an image sensor to capture an image frame. The example mobile device also includes a processor for performing simultaneous localization and mapping (SLAM). The example mobile device further includes a memory communicatively coupled to the processor and storing executable instructions that when executed cause the processor to: (1) determine a current location of the mobile device in a local map based on features extracted from the image frame; (2) perform a panoramic check to determine whether a threshold number of keyframes surrounding the current location have been captured; and (3) determine whether to add the image frame to a keyframe database for local mapping based on the panoramic check.

Abstract: In an example in accordance with the present disclosure, a system is described. The system includes a display device to display a digital scene. The system also includes a processor to determine, for a user, a maximum distance at which a difference between a left eye image and a right eye image are distinguishable. The system also includes a rendering engine to select a rendering format for different portions of the digital scene based on a comparison of virtual distances of the portions compared to the maximum distance.

Abstract: An example head-mounted device includes: a frame to nest the device on a head of a user; a biosensor disposed on the frame, the biosensor to: detect a biological characteristic of the user; generate a signal representing the biological characteristic of the user; and a power management controller coupled to the biosensor, the controller to, when the signal corresponds to a predefined profile, determine that the head-mounted device is in a transitional state and change a power state of the head-mounted device based on the transitional state.

Abstract: The present specification describes examples of a computing device for reducing camera bus channels and bandwidth. The example computing device includes a plurality of tracking cameras to capture a plurality of tracking images. The computing device also includes a processor to receive the plurality of tracking images captured by the plurality of tracking cameras. The processor is to combine the plurality of tracking images into a carrier image. The computing device also includes a camera bus to transmit the carrier image.

Abstract: A depth image is acquired using a time-of-flight (ToF) camera. The depth image has two-dimensional (2D) pixels on a plane of the depth image. The 2D pixels correspond to projections of three-dimensional (3D) pixels in a real space onto the plane. For each 3D pixel, 3D coordinates within a 3D camera coordinate system of the real space are calculated based on 2D coordinates of the 2D pixel to which the 3D pixel corresponds within a 2D image coordinate system of the plane, the depth image, and camera parameters of the ToF camera. The 3D pixels are mapped from the real space to a virtual space. An object within the real space within an image of the virtual space is reconstructed using the 3D pixels as mapped to the virtual space.