Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: A method and/or system for automated estimation of 3D orientation of a physical asset using deep learning models and computer vision algorithms, according to one or more embodiments. The system may be configured to receive images of the physical asset and camera orientation data as input, use deep learning neural network models to isolate the physical assets across the images, track each physical asset instance throughout the images and derive a 3D point cloud model of each asset by projecting binary masks of the asset contours from different view-points. The 3D point cloud model is further processed and supplemented with camera orientation data to estimate the 3D orientation of one or more assets present in the images.

Abstract: A method includes coordinating at a first system in an online mode: analyzing at least a portion of a search query using one or more query suggestion systems to determine scores for suggested search queries from the one or more query suggestion systems.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: A method for characterizing a digital color camera includes, for each of three primary colors used in a field sequential color virtual image, determining a conversion model for each color using RGB values and the color-measurement values. For each primary color, the method includes illuminating a display device using an input light beam of a primary color having spectral properties representative of a light beam in a virtual image in a wearable device. The method includes capturing, with the digital color camera, an image of the display device, and determining, from the image, RGB values for each primary color. The method includes capturing, with a color-measurement device, a color-measurement value associated with each corresponding primary color at the display device, thereby acquiring a color-measurement value in an absolute color space. A conversion model for each color is determined using RGB values and the color-measurement values.

Abstract: Disclosed are techniques for improving the color uniformity of a display of a display device. A plurality of images of the display are captured using an image capture device. The plurality of images are captured in a color space, with each image corresponding to one of a plurality of color channels. A global white balance is performed to the plurality of images to obtain a plurality of normalized images. A local white balance is performed to the plurality of normalized images to obtain a plurality of correction matrices. Performing the local white balance includes defining a set of weighting factors based on a figure of merit and computing a plurality of weighted images based on the plurality of normalized images and the set of weighting factors. The plurality of correction matrices are computed based on the plurality of weighted images.

Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: The disclosed system and methods are directed to a data-driven choreography of microservices sagas that enable the composition of microservices without depriving each individual microservice of its independence.

Abstract: Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, perform: receiving historical in-session user activity information; receiving, via a graphical user interface (GUI) of a user device, a partial search query from a user; analyzing the partial search query based on the historical in-session user activity information using one or more query suggestion systems to determine a respective score for respective suggested search queries from each of the one or more query suggestion systems; determining a respective absolute position metric for the respective suggested search queries from each of the one or more query suggestion systems; determining a respective efficiency metric for each of the one or more query suggestion systems based on the respective absolute position metric; analyzing the respective efficiency metric for each of the one or more query suggestion systems to dete

Abstract: A method and/or system for automated estimation of 3D orientation of a physical asset using deep learning models and computer vision algorithms, according to one or more embodiments. The system may be configured to receive images of the physical asset and camera orientation data as input, use deep learning neural network models to isolate the physical assets across the images, track each physical asset instance throughout the images and derive a 3D point cloud model of each asset by projecting binary masks of the asset contours from different view-points. The 3D point cloud model is further processed and supplemented with camera orientation data to estimate the 3D orientation of one or more assets present in the images.

Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: Disclosed are techniques for improving the color uniformity of a display of a display device. A plurality of images of the display are captured using an image capture device. The plurality of images are captured in a color space, with each image corresponding to one of a plurality of color channels. A global white balance is performed to the plurality of images to obtain a plurality of normalized images. A local white balance is performed to the plurality of normalized images to obtain a plurality of correction matrices. Performing the local white balance includes defining a set of weighting factors based on a figure of merit and computing a plurality of weighted images based on the plurality of normalized images and the set of weighting factors. The plurality of correction matrices are computed based on the plurality of weighted images.

Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: The systems and methods described can include approaches to calibrate head-mounted displays for improved viewing experiences. Some methods include receiving data of a first target image associated with an undeformed state of a first eyepiece of a head-mounted display device; receiving data of a first captured image associated with deformed state of the first eyepiece of the head-mounted display device; determining a first transformation that maps the first captured image to the image; and applying the first transformation to a subsequent image for viewing on the first eyepiece of the head-mounted display device.

Abstract: A method for characterizing a digital color camera includes, for each of three primary colors used in a field sequential color virtual image, determining a conversion model for each color using RGB values and the color-measurement values. For each primary color, the method includes illuminating a display device using an input light beam of a primary color having spectral properties representative of a light beam in a virtual image in a wearable device. The method includes capturing, with the digital color camera, an image of the display device, and determining, from the image, RGB values for each primary color. The method includes capturing, with a color-measurement device, a color-measurement value associated with each corresponding primary color at the display device, thereby acquiring a color-measurement value in an absolute color space. A conversion model for each color is determined using RGB values and the color-measurement values.

Abstract: The present disclosure provides fecal microbial markers for diagnosing colorectal cancer and colorectal adenoma. The present disclosure also provides methods for diagnosing colorectal cancer and colorectal adenoma using these intestinal microbial markers.

Abstract: A concrete coating composition, containing a thermally stable cement, glass bubbles, porous glass spheres or aerogel or a combination thereof, and glass fibers. Also, disclosed is a coated pipe having the concrete coating composition disclosed herein. The coated pipes disclosed herein can be thermally insulated, impact and abrasion resistant, flexible pipeline that can be used in downhole steam injection operations and for extracting hydrocarbons.

Abstract: A thermally insulated tubular made up of a first pipe having a first pipe diameter and a second pipe having a second pipe diameter. The second pipe diameter is greater than the first pipe diameter. The first pipe positioned along a conduit of the second pipe and spaced-apart from an interior surface of the first pipe. A thermally insulating composition coupling the first pipe to the second pipe and positioned in an annulus formed by the first and second pipe. The thermally insulating composition containing a thermally insulating or thermal shock resistant layer and a thermally insulating concrete composition.