Oculus, Vr, LLC

Facebook Technologies, LLC

Facebook Technologise, LLC

Simon Hallam

Kieran Tobias Levin

Ye Yin

Evan Mark Richards

Shizhe Shen

Dov Katz

Samuel Redmond D'Amico

Jennifer Dolson

Andrew Melim

Eric Loren Vaughan

Klas Petter Ivmark

Matthew Robert Fulghum

Oskar Linde

An apparatus for treating pixels or regions of a display panel includes a measuring device configured to measure a parameter of light emitted by one or more pixels of each region of the display panel. The apparatus includes a parameter comparator operably coupled to the measuring device and configured to select one or more pixels or one or more regions of the display panel such that the measured parameter of light emitted by the one or more pixels or the one or more regions exceeds a threshold value. The apparatus also includes a laser device configured to emit a laser beam onto the selected one or more pixels or the selected one or more regions.

Treating display panel using laser

An optical evaluation workstation evaluates a virtual image distance of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feed assembly configured to receive an eyecup assembly of an HMD. The eyecup assembly comprising an optics block rigidly fixed to an electronic display panel. The workstation includes a lens assembly positioned at a fixed distance from the eyecup assembly. The workstation includes a movable imaging sensor assembly positioned along the alignment axis and configured to capture one or more images of the one or more test patterns presented by the eyecup assembly when the imaging sensor assembly is at different positions. The optical evaluation workstation includes a control module configured to determine one or more virtual image distances of the eyecup assembly using the plurality of images captured by the imaging sensor assembly.

Full display panel grid-based virtual image distance test subsystem for eyecup assemblies of head mounted displays

A virtual reality (VR) headset calibration system calibrates a VR headset, which includes a plurality of locators and an inertial measurement unit (IMU) generating output signals indicative of motion of the VR headset. The system comprises a calibration controller configured to receive a headset model of the VR headset that identifies expected positions of each of the locators. The controller controls cameras to capture images of the VR headset while the headset is moved along a predetermined path. The images detect actual positions of the locators during the movement along the predetermined path. Calibration parameters for the locators are generated based on differences between the actual positions and the expected positions. Calibration parameters for the IMU are generated based on the calibration parameters for the locators and differences between expected and actual signals output by the IMU. The calibration parameters are stored to the VR headset.

Stereo-based calibration apparatus

A camera colorimeter system simultaneously lights up one or more pixel units on a display panel, each pixel unit including colored subpixels, for characterization of the display panel. The system includes optical elements that directs the light emitted by the simultaneously lit one or more pixel units to a filter and a corresponding imaging device. Each filter is configured to block wavelengths of light other than predetermined range of wavelengths, thereby ensuring that each imaging device captures a filtered spectrum of light that originates from subpixels of the same color. Using the filtered spectrum, the system reconstructs the full spectrum of light, which can subsequently be used to regenerate the display characteristics of each pixel unit (and corresponding colored subpixels). Thus, the camera colorimeter system can characterize a display panel in significantly less time as compared to conventional systems and methods.

Camera colorimeter system for display characterization

A system calibrates luminance of an electronic display panel. The system includes a luminance detection device, an actuator and a computing device. The luminance detection device comprises a plurality of detectors arranged along a width or length of the electronic display panel to simultaneously measure luminance parameters of at least one row or column of areas in the electronic display panel. Each of the plurality of detectors covers an area in the at least one row or column of the electronic display panel. The actuator is configured to cause a relative translational movement in a length direction or a width direction of the electronic display panel. The computing device is coupled to the luminance detection device to receive the measured luminance parameters, and the computing device is configured to generate calibration data for adjusting brightness of areas of the electronic display panel by processing the measured luminance parameters.

Display panel calibration using detector array measurement

An apparatus for measuring characteristics of an electronic display panel includes an array of optical elements. Each optical element has a first surface and a second surface. The first surface faces the electronic display panel and receives light from pixels of the electronic display panel. The second surface faces away from the electronic display panel and has an area smaller than the area of the first surface. The second surface emits a combined version of the light received by the first surface. The apparatus further includes a light sensor facing the second surface to measure one or more parameters of the emitted light.

Measurement of display characteristics of electronic display panel using optical tapers

An optical evaluation workstation evaluates quality metrics (e.g., virtual image distance) of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feed assembly configured to receive an eyecup assembly of a head mounted display (HMD), the eyecup assembly comprising an optics block rigidly fixed at a first distance to an electronic display panel. The optical evaluation workstation includes a camera assembly configured to capture a plurality of images of the electronic display panel through the optics block, the camera assembly comprising a pinhole aperture at an exit pupil position and a camera attached to a lens assembly having an adjustable focus. The optical evaluation workstation includes a control module configured to determine one or more virtual image distances of the eyecup assembly using the plurality of images captured by the camera assembly.

Virtual image distance test subsystem for eyecup assemblies of head mounted displays

A display calibration apparatus may include a display mounting assembly with a mounting platform and a multi-axis positioning device coupled to the mounting platform for adjusting an orientation of the mounting platform. The display calibration apparatus may also include a camera device positioned to receive light emitted by a plurality of sub-pixels of a display mounted on the mounting platform. The camera device may include an image sensor array that captures light emitted by the plurality of sub-pixels of the display. In addition, the display calibration apparatus may include a camera lens and a focuser. The camera lens may be positioned to direct light emitted by the plurality of sub-pixels of the display onto the image sensor array of the camera device, and the focuser may be disposed between the camera device and the camera lens to move the camera lens axially along an optical axis of the camera lens.

Apparatuses, systems, and methods for characterizing and calibrating displays

An apparatus for aligning an eyecup to an electronic display panel of a head-mounted display is presented in this disclosure. The eyecup is coupled to the electronic display panel forming an eyecup assembly. An imaging device captures one or more images of image light projected by the electronic display panel through the eyecup. A calibration controller, interfaced with the electronic display panel and the imaging device, determines physical locations of pixels of the electronic display panel on a sensor of the imaging device based on the captured one or more images. The calibration controller also determines a preferred alignment for presenting images by the electronic display panel based on the determined physical locations of the pixels and a projected location of the eyecup.

Eyecup-display alignment testing apparatus

Embodiments relate to determining characteristics of a display panel by using capturing images through multiple filters where the multiple filters include at least two filters that collectively enable replicating of a color matching function. At least two filters of the multiple filters have transmission profiles that correspond to the same color matching function (color matching function) in different wavelength ranges. Image capturing devices capture the display panel through respective filters. The captured images are processed to the display characteristics of pixels or regions of the display panel.

Multi-camera filter system for characterizing display panels

An optical evaluation workstation evaluates quality metrics (e.g., sharpness, blemishes) of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feeder, a camera, and a control module. The eyecup assembly feeder is configured to receive an eyecup assembly of a HMD, the eyecup assembly comprising an optics block rigidly fixed at a first distance to an electronic display panel. The camera is configured to capture one or more images of the one or more test patterns presented by the electronic display panel through the optics block. The control module is configured to modify at least one image of the one or more images using a transform, and determine a quality metric for the modified at least one image.

Sharpness and blemish quality test subsystem for eyecup assemblies of head mounted displays

Embodiments relate to adjusting an image frame based on motion sensor data. An image frame including image data for a plurality of rows of the image frame is captured sequentially row-by-row. Motion sensor data corresponding to the image frame is also captured. Motion vectors describing motion between each row of the image frame are determined based on the motion sensor data. An image data translation is calculated for each row of image frame based on the motion vector for the row. The image frame is adjusted based on the image data translation for each row of the image frame to generate an adjusted image frame.

Rolling shutter blur reduction using motion data

An optical calibration system is configured to determine camera calibration information of a virtual reality camera. The optical calibration system comprises a light source, a first and a second planar grid, and an optical calibration controller. The light source is configured to backlight the first and the second planar grids. Each planar grid includes a plurality of fiducial markers that are backlit by the light source. The optical calibration controller determines camera calibration information of a virtual reality camera selecting and analyzing a plurality of captured images that include a portion of the first or the second planar grid with fiducial markers backlit.

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San Jose, CA, United States of America

Simon Hallam