Abstract: In particular embodiments, a computing system may capture a first image of a scene using a first camera of an artificial reality device. The system may capture a second image of the scene using a second camera and one or more optical elements of the artificial reality device. The second image may include an overlapping portion of multiple shifted copies of the scene. The system may generate an upsampled first image by applying a particular sampling technique to the first image. The system may generate a tiled image comprising a plurality of repeated second images by applying a tiling process to the second image. The system may generate an initial output image by processing the upsampled first image and the tiled image using a machine learning model. The system may generate a final output image by normalizing the initial output image using the upsampled first image.

Abstract: An intelligent smog-penetrating optical imaging detection device and a method of thereof, and belongs to the technical field of photoelectric imaging. The intensity information, the spectrum information, and the polarization information of light are organically combined, the three functions of intensity imaging, spectrum imaging and polarization imaging can be achieved, traditional imaging detection is beneficially supplemented, smog can be penetrated, the image contrast of imaging is improved, and therefore the working distance is increased. The intensity information reflects the detection distance, the target shape, the target size and the like; the spectrum information reflects material components, surface morphology and the like of a space target; the polarization information reflects the material and roughness of the target and the contrast with the background; and the intensity, spectrum and polarization three-dimensional information is jointly applied, the image contrast can be increased by 2-3 times.

Abstract: A display panel includes an active area and a peripheral area surrounding the active area, and the display panel further includes: a substrate and a plurality of light emitting devices arranged on the substrate in array, wherein the plurality of light emitting devices are located at least in the active area; a conducting layer comprising a cathode ring and cathodes of the plurality of light emitting devices, wherein the cathode ring is located in the peripheral area, and the cathode ring surrounds the active area; and a lens layer located at a side of the light emitting devices away from the substrate, wherein the lens layer extends from the active area to the peripheral area; wherein an orthographic projection of the lens layer on the substrate is located within an area delineated by an outer contour of an orthographic projection of the cathode ring on the substrate.

Abstract: Various apparatuses are disclosed (e.g., system, device, method, or the like) for guiding the capture and assessing the quality of an image, including dental images. The apparatuses may use trained neural networks to examine images and provide users feedback regarding image quality. The neural networks may be trained based on images within image groups that have been ranked based on perceived image quality.

Abstract: Embodiments of the present invention relate to the field of communications methods and technologies, and in particular, to a transmission method and apparatus. The transmission method includes: generating, by a first device, a sequence based on one or more transmission parameters, where the one or more transmission parameters include at least one of the following: a time domain resource type, transmission waveform indication information, subcarrier spacing indication information, device type information, service type indication information, multiple-input multiple-output MIMO parameter information, duplex mode indication information, control channel format indication information, and transmission carrier indication information; generating to-be-transmitted information by using the sequence; and sending the to-be-transmitted information. According to the transmission method and apparatus in the embodiments of the present invention, a new transmission error check mechanism is provided.

Abstract: A control device for controlling a temperature of a laser device includes a pulse width modulation (PWM) signal generator, a temperature acquisition circuit, a voltage comparator, and a logic circuit. The a pulse width modulation (PWM) signal generator configured to generate a PWM signal; a temperature acquisition circuit configured to acquire a temperature of the laser device and convert the temperature into a measurement voltage; a voltage comparator configured to compare the acquired measurement voltage associated with the temperature of the laser device with a temperature threshold voltage and output a comparison result signal; and a logic circuit configured to generate a drive signal based on the PWM signal and the comparison result signal to drive the laser device.

Abstract: Translating applications to a target language includes extracting program integrated information (PII) to be translated and creating translation context datasets based on interpretation of accessibility information associated with particular strings of PII. Translation pairs include PII and corresponding context datasets for context-based translation of application components. A two-stage index contains PII strings for first stage lookup and context datasets for distinguishing duplicate PII strings as a second stage lookup. Real-time translation is facilitated by the two-stage index, which is established by translation pairs and resulting translations.

Abstract: The present invention relates to a method for preparing, activating and regenerating a metal supported catalyst, comprising: treating a Ma-Mb-Mc metal supported catalyst at 10-700° C. by using an ammonia or nitrogen-containing organic matter, wherein the Ma metal is an active metal selected from one or more of a noble metal atom or a transition metal, the support is a common industrial porous catalyst, and the Ma metal is dispersed on the support in a state of single atomic site. According to the Md-Mb-Mc metal supported noble metal/zinc catalyst treated by the method of the present invention, the direct dehydrogenation conversion rate and selectivity of catalyzing light alkanes are remarkably improved; the method for preparing the catalyst is simple in process, the catalytic activity after regeneration is still kept, and the catalyst can be industrially produced on a large scale.

Abstract: In a technique to assess the blurriness of an image, an image of a face is received, the image including a depiction of lips. A processing device determines a region of interest in the image, wherein the region of interest comprises an area inside of the lips. The processing device applies a focus operator to the pixels within the region of interest, and calculates a sharpness metric for the region of interest using an output of the focus operator. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: Methods, apparatuses, and systems are disclosed for simulating a tooth whitening procedure. The simulation may generally obtain a patient's two-dimensional or three-dimensional dental scan and color space convert color information from a first or native color space to a color space based on an International Commission on Illumination color space (CIELAB). The simulation may include modifying color information in the CIELAB color space then returning the modified color information to the native color space.

Abstract: A wafer-level assembly method for a micro hemispherical resonator gyroscope includes: after independently manufactured glass substrates are softened and deformed at a high temperature, forming a micro hemispherical resonator on the glass substrate; forming glass substrate alignment holes at both ends of the glass substrate by laser ablation; aligning and fixing a plurality of identical micro hemispherical resonators on a wafer fixture by using the alignment holes as a reference, and then performing operations by using the wafer fixture as a unit to implement subsequent processes that include: releasing the micro hemispherical resonators, metallizing the surface, fixing to the planar electrode substrates, separating the wafer fixture and cleaning to obtain a micro hemispherical resonator gyroscope driven by a bottom planar electrode substrate.

Abstract: A method for identifying hard-coded strings in source code is disclosed. In one embodiment, such a method parses source code and associated localization resource files to identify hard-coded strings and their associated context. The method provides a confidence score for each hard-coded string that indicates whether the hard-coded string is translatable or non-translatable. Based on the confidence score for each hard-coded string, the method transforms each hard-coded string into a single equivalence word. The method then prepares training data by tagging the hard-coded strings in the source code and associated localization resource files as one of translatable and non-translatable. The method then trains a parts-of-speech (POS) tagging model using the training data. At runtime, the method fetches potential hard-coded strings and tags each hard-coded string as one of translatable and non-translatable using the POS tagging model. A corresponding system and computer program product are also disclosed.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. One or more function is generated for one or more color channels based on intensities of the one or more color channels at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the one or more functions.

Abstract: A method includes receiving an image of a face, processing the image using a first trained machine learning model to determine a bounding shape around teeth in the image, cropping the image based on the bounding shape to produce a cropped image, processing the cropped image using an edge detection operation to generate edge data for the cropped image, and processing the cropped image and the edge data using a second trained machine learning model to label edges in the cropped image.

Abstract: In a technique to assess the blurriness of an image, an image of a face is received, the image including a depiction of lips. A processing device determines a region of interest in the image, wherein the region of interest comprises an area inside of the lips. The processing device applies a focus operator to the pixels within the region of interest, and calculates a sharpness metric for the region of interest using an output of the focus operator. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth and gingiva based on the first 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the parametric 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with gingiva and teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: A computer-implemented method for generating a 3D geological model of a subsurface volume of a geographic site. The method includes processing, based on a machine-learning-based model, borehole data of a plurality of boreholes at the geographic site and trusted geological data associated with the geographic site, so as to generate a plurality of geological cross-sections of the subsurface volume of the geographic site. The borehole data includes data related to subsurface soil and/or rock information along at least part of each of the plurality of boreholes. The trusted geological data includes data related to prior stratigraphic information associated with the geographic site. Each of the geological cross-sections contains respective stratigraphic information. The method also includes forming the 3D geological model based on the generated geological cross-sections for display.

Abstract: A method includes receiving an image of a face of a patient, the image including a depiction of teeth; processing the image of the face using one or more trained machine learning model, wherein the one or more trained machine learning model outputs a pixel-level classification of pixels in the image, the pixel level classification comprising a first set of pixels classified as being inside of a bounding shape that bounds a first plurality of teeth depicted in the image and a second set of pixels classified as being outside of the first bounding shape; cropping the image of the face of the patient, wherein the cropped image comprises depictions of the first plurality of teeth; and performing one or more operations on the cropped image of the face of the patient.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.