Abstract: Examples are disclosed that relate to displaying a hologram via an HMD. One disclosed example provides a method comprising obtaining depth data from a direct-measurement depth sensor included in the case for the HMD, the depth data comprising a depth map of a real-world environment. The method further comprises determining a distance from the HMD to an object in the real-world environment using the depth map, obtaining holographic imagery for display based at least upon the distance, and outputting the holographic imagery for display on the HMD.

Abstract: Examples are disclosed that relate to calibration data related to a determined alignment of sensors on a wearable display device. One example provides a wearable display device comprising a frame, a first sensor and a second sensor, one or more displays, a logic system, and a storage system. The storage system comprises calibration data related to a determined alignment of the sensors with the frame in a bent configuration and instructions executable by the logic system. The instructions are executable to obtain a first sensor data and a second sensor data respectfully from the first and second sensors, determine a distance from the wearable display device to a feature based at least upon the first and second sensor data using the calibration data, obtain a stereo image to display based upon the distance from the wearable display device to the feature, and output the stereo image via the displays.

Abstract: The techniques disclosed herein detect sensor misalignments in a display device by the use of sensors operating under different modalities. In some configurations, a near-to-eye display device can include a number of sensors that can be used to track movement of the device relative to a surrounding environment. The device can utilize multiple sensors operating under multiple modalities. For each sensor, there is a set of intrinsic and extrinsic properties that are calibrated. The device is also configured to determine refined estimations of the intrinsic and extrinsic properties at runtime. The refined estimations of the intrinsic and extrinsic properties can then be used to derive knowledge on how the device has deformed over time. The device can then use the refined estimations of the intrinsic and extrinsic properties and/or any other resulting data that quantifies any deformations of the device to make adjustments to rendered images at runtime.

Abstract: A near-eye display device comprises right and left display projectors, expansion optics, and inertial measurement units (IMUs), in addition to a plurality of angle-sensitive pixel (ASP) elements and a computer. The right and left expansion optics are configured to receive respective display images from the right and left display projectors and to release expanded forms of the display images. The right IMU is fixedly coupled to the right display projector, and the left IMU is fixedly coupled to the left display projector. Each ASP element is responsive to an angle of light of one of the respective display images as received into the right or left expansion optic. The computer is configured to receive output from the right IMU, the left IMU and the plurality of ASP elements, and render display data for the right and left display projectors based in part on the output.

Abstract: A computer-implemented method of field calibrating a device is disclosed. In one example, a reference image is acquired, via an infrared camera, while the device is in a factory-calibrated state. The reference image measures a factory-calibrated spatial relationship of one or more infrared-visible fiducial markers of the device relative to the infrared camera while the device is in the factory-calibrated state. Later, a field image is acquired, via the infrared camera. The field image measures an updated spatial relationship of the one or more infrared-visible fiducial markers relative to the infrared camera. The device is field calibrated based on the reference image and the field image.