Abstract: A method of mesoscopic photogrammetry can be carried out using a set of images captured from a camera on a mobile computing device. Upon receiving the set of images, the method generates a composite image, which can include applying homographic rectification to warp all images of the set of images onto a common plane; applying a rectification model to undo perspective distortion in each image of the set of images; and applying an undistortion model for adjusting for camera imperfections of a camera that captured each image of the set of images. A height map is generated co-registered with the composite image, for example, by using an untrained CNN whose weights/parameters are optimized in order to optimize the height map. The height map and the composite image can be output for display.

Abstract: A method of performing computational image contrast from multidimensional data includes receiving a plurality of images of an object, with each image of the plurality of images having more than three dimensions, performing multi-dimensional registration of the plurality of images to generate a multi-dimensional dataspace, reducing dimensionality of the multi-dimensional dataspace to create an enhanced resolution and contrast image of a 3D space of the object using the plurality of images as registered in the multi-dimensional dataspace, and displaying the enhanced resolution and contrast image. In some cases, reducing the dimensionality of the multi-dimensional dataspace to create the enhanced resolution and contrast image of the 3D space of the object comprises utilizing at least one of variance, high-order statistics, entropy, principal component analysis, t-distributed stochastic neighborhood embedding, and neural networks using the plurality of images as registered in the multi-dimensional dataspace.

Abstract: An apparatus, system, and method for an eye tracking system for a head-mounted device include a light source, an image sensor, and a frame tracking system. The light source and image sensor may be configured to determine absolute and relative eye orientations. The frame tracking system may be configured to determine the displacement of a head-mounted device frame relative to the face of the user. The frame tracking system may provide displacement data for the displacement of the head-mounted device frame to the eye tracking system to enable the eye tracking system to compensate for frame slippage, frame jostling, or other frame displacement (relative to the face of the user). The frame tracking system may include one or more position sensors disposed on the head-mounted device frame and logic configured to determine displacement data using information from the one or more position sensors.

Abstract: There is provided a photonic integrated circuit configured for low-coherence interferometry and in-field sensing. The photonic integrated circuit can include an opto-coupler that has a substrate substantially transparent to a specified wavelength of light and a waveguide configured to route a light beam having a center wavelength at the specified wavelength. The opto-coupler further includes a mirror disposed at an angle, and the mirror is disposed on an angled surface of the substrate, the angled surface being proximate to an output end of the waveguide. The opto-coupler further includes a beam forming element configured to collect light reflected from the mirror, and the waveguide and the mirror are integrated within the substrate.

Abstract: A transmitter emits transmit signals to an ear-region. Image signals are generated by a receiver. The image signals are generated by the receiver in response to receiving return signals. The return signals are the millimeter-wave transmit signals reflecting back from the ear-region. An ear-region image is generated in response to the image signals.

Abstract: A plano-concave optical layer is fabricated based on an optical-mechanical fit profile. A concave-side of the plano-concave optical layer and a base curvature provide an optical power that matches the optical power from prescription lenses of eyeglasses.

Abstract: A volumetric depth image is captured. The volumetric depth image includes a front surface of a prescription lens, a back surface of the prescription lens, and a cornea of an eye of a wearer of the prescription lens. Lens-to-eye data is determined from the volumetric depth image. The lens-to-eye data includes measurements of the prescription lens with respect to the eye. A three-dimensional (3D) optical-mechanical fit profile is generated or the wearer based on the lens-to-eye data.

Abstract: A distortion profile is based on user lens data and a selected optical-mechanical profile of a selected head mounted device. The user lens data is associated with prescription lenses worn by the user. A prescription optical layer is fabricated based on the distortion profile for the selected head mounted device.

Abstract: Sensor data is captured with a sensor. The sensor data includes a lens-position of a prescription lens relative to a reference point of an optical coherence tomography (OCT) system. A mirror of a reference arm of the OCT system is positioned at an optical pathlength between an eye region of the prescription lens based at least in part on the sensor data. An OCT signal is generated while the mirror is positioned at the optical pathlength. At least one depth profile is generated that includes the prescription lens and the eye region.

Abstract: A method of mesoscopic photogrammetry can be carried out using a set of images captured from a camera on a mobile computing device. Upon receiving the set of images, the method generates a composite image, which can include applying homographic rectification to warp all images of the set of images onto a common plane; applying a rectification model to undo perspective distortion in each image of the set of images; and applying an undistortion model for adjusting for camera imperfections of a camera that captured each image of the set of images. A height map is generated co-registered with the composite image, for example, by using an untrained CNN whose weights/parameters are optimized in order to optimize the height map. The height map and the composite image can be output for display.

Abstract: Systems and methods for imaging based on multiple cross-sectional images acquired at different angles are disclosed. According to an aspect, multiple cross-sectional images of an object are acquired at different angles. The method also includes registering the acquired cross-sectional images. Further, the method includes reconstructing an enhanced resolution image of the object based on the registered images. As a result of registering the images, a distortion map is generated that is coregistered with the high-resolution image. The method also includes displaying an image of the object based on the enhanced resolution image and the distortion map.

Abstract: A 3D sensing depth camera involves a time-frequency multiplexed frequency-modulated continuous wave (FMCW) LiDAR technique. A sample arm of such a system for 3D depth sensing includes a scanner for beam scanning in a first axis and a diffractive optical element for spectrally encoded scanning along a second axis. The sample arm can further include beam shaping optics such as a collimator and a lens. Processing of an interferogram comprising depth information at a different position along the second axis for each frequency sweep of the light source involves applying a windowed spectral estimator at a particular spectral window size with zero-padding and according to a specified lateral sampling approach.

Abstract: Sensor data is captured with a sensor. The sensor data includes a lens-position of a prescription lens relative to a reference point of an optical coherence tomography (OCT) system. A mirror of a reference arm of the OCT system is positioned at an optical pathlength between an eye region of the prescription lens based at least in part on the sensor data. An OCT signal is generated while the mirror is positioned at the optical pathlength. At least one depth profile is generated that includes the prescription lens and the eye region.

Abstract: Systems and methods for imaging based on multiple cross-sectional images acquired at different angles are disclosed. According to an aspect, multiple cross-sectional images of an object are acquired at different angles. The method also includes registering the acquired cross-sectional images. Further, the method includes reconstructing an enhanced resolution image of the object based on the registered images. As a result of registering the images, a distortion map is generated that is coregistered with the high-resolution image. The method also includes displaying an image of the object based on the enhanced resolution image and the distortion map.