Abstract: To determine the head pose of a user, a head-mounted display system having an imaging device can obtain a current image of a real-world environment, with points corresponding to salient points which will be used to determine the head pose. The salient points are patch-based and include: a first salient point being projected onto the current image from a previous image, and with a second salient point included in the current image being extracted from the current image. Each salient point is subsequently matched with real-world points based on descriptor-based map information indicating locations of salient points in the real-world environment. The orientation of the imaging devices is determined based on the matching and based on the relative positions of the salient points in the view captured in the current image. The orientation may be used to extrapolate the head pose of the wearer of the head-mounted display system.

Abstract: Examples of the disclosure describe systems and methods for presenting virtual content on a wearable head device. In some embodiments, a state of a wearable head device is determined by minimizing a total error based on a reduced weight associated with a reprojection error. A view reflecting the determined state of the wearable head device is presented via a display of the wearable head device. In some embodiments, a wearable head device calculates a preintegration term based on the image data received via a sensor of the wearable head device and the inertial data received via a first IMU and a second IMU of the wearable head device. The wearable head device estimates a position of the device based on the preintegration term, and the wearable head device presents the virtual content based on the position of the device.

Abstract: A collaboration tool includes a collaborative database consistency system that includes a host service to receive user input and, in particular, a selection of data to monitor. The host service is coupled to an upstream dependency traverser service configured to generate a dependency tree identifying all tables upon which the selected data to monitor depends, at least in part. A unit test service receives the dependency tree as input and automatically generates suitable pass/fail tests for each table identified in the dependency tree. Thereafter, the unit test service can execute each generated pass/fail test to determine whether the data to monitor is valid.

Abstract: A collaboration tool includes a collaborative database consistency system that includes a host service to receive user input and, in particular, a selection of data to monitor. The host service is coupled to an upstream dependency traverser service configured to generate a dependency tree identifying all tables upon which the selected data to monitor depends, at least in part. A unit test service receives the dependency tree as input and automatically generates suitable pass/fail tests for each table identified in the dependency tree. Thereafter, the unit test service can execute each generated pass/fail test to determine whether the data to monitor is valid.

Abstract: A collaboration tool includes a collaborative database consistency system that includes a host service to receive user input and, in particular, a selection of data to monitor. The host service is coupled to an upstream dependency traverser service configured to generate a dependency tree identifying all tables upon which the selected data to monitor depends, at least in part. A unit test service receives the dependency tree as input and automatically generates suitable pass/fail tests for each table identified in the dependency tree. Thereafter, the unit test service can execute each generated pass/fail test to determine whether the data to monitor is valid.