Abstract: An artificial reality system is described that implements adaptive degrees-of-freedom (DOF) selection when tracking frames of reference and rendering artificial reality content. In one example, the artificial reality system comprises a head mounted display (HMD) that outputs rendered artificial reality content. A performance monitor determines one or more performance indicators associated with the artificial reality system. A degree-of-freedom (DOF) selector applies one or more policies to the performance indicators to select between a first mode in which a pose tracker computes one or more poses of the HMD within the 3D environment using 6DOF and a second mode in which the pose tracker computes the one or more poses using 3DOF. The pose tracker computes the one or more poses for the HMD within the 3D environment in accordance with the selected mode. A rendering engine renders the content for the artificial reality application based on the computed pose.

Abstract: In general, this disclosure describes an artificial reality system that provides asymmetric user experiences to users associated with user devices that operate according to different modes of engagement with the artificial reality system. Different user devices may have different capabilities, be used by users having different roles for an artificial reality application, or otherwise be configured to interact in a variety of ways with an artificial reality system.

Abstract: Systems and methods are described for adjusting planar geometry derived from point cloud data associated with a building object by identifying major aspects like vertices and edges of the underlying structure within the point cloud and adjusting an average planar fit for simplified geometries created from the point cloud. Combining the planar geometry or point cloud with orthogonal or street level views improves accuracy and use cases of the planar geometry.

Abstract: A process is provided for graphically guiding a user of a capture device (e.g., smartphone) to more accurately capture a series of images of a building. Images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16) of images from multiple angles and distances. Before capturing an image, a quality of the image may be determined to prevent low quality images from being captured or to provide instructions on how to improve the quality of the image capture. The series of captured images are uploaded to an image processing system to generate a 3D building model that is returned to the user. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows, doors or roofing.

Abstract: A system and method is provided for generating textured building models from wirelessly captured ground-level imagery. Ground-level images of facades of building objects are collected for identification of geometry planes and generation of building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.

Abstract: A system and method is provided for generating textured building models from wirelessly captured ground-level imagery. Ground-level images of façades of building objects are collected for identification of geometry planes and generation of building façade geometry. The 3D building model is properly geo-positioned, scaled and textured.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results to locate personalized product substitutions, filter the search results based on product characteristics and customer and retailer preferences, and provide personalized substitution recommendations to online grocery shoppers.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results and match ingredients from a recipe or grocery list to products available for purchase from a retailer.

Abstract: A system is provided including a database that ingests data from disparate image sources, with a variety of image metadata types and qualities, and manages images geospatially through the creation and continued refinement of camera solutions for each data object included. These camera solutions are calculated and refined by the database as additional data enters the system that could affect the solutions, through a combination of the application of image metadata towards image processing methods and the use of optical-only computer vision techniques. The database continually generates data quality metrics and relevant imagery and geometry analytics, which drive future collection tasking, system analytics, and human quality control requirements.

Abstract: A system, method and computer product for allowing a processing device to generate search engine results using a cobought model algorithm, filter the search results based on product information and past transaction data, and provide personalized recommendations for online grocery shoppers.

Abstract: A system and method is provided for scaling and constructing a multi-dimensional (e.g., 3D) building model using ground-level imagery. Ground-level imagery is used to identify architectural elements that have known architectural standard dimensional ratios. Dimensional ratios of architectural elements in the multi-dimensional building model (unscaled) are compared with known architectural standard dimensional ratios to scale and construct an accurate multi-dimensional building model.

Abstract: A process is provided for graphically guiding a user of a capture device (e.g., smartphone) to more accurately capture a series of images of a building. Images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16) of images from multiple angles and distances. Before capturing an image, a quality of the image may be determined to prevent low quality images from being captured or to provide instructions on how to improve the quality of the image capture. The series of captured images are uploaded to an image processing system to generate a 3D building model that is returned to the user. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows, doors or roofing.

Abstract: A process is provided for graphically guiding a user of a capture device (e.g., smartphone) to more accurately capture a series of images of a building. Images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16) of images from multiple angles and distances. Before capturing an image, a quality of the image may be determined to prevent low quality images from being captured or to provide instructions on how to improve the quality of the image capture. The series of captured images are uploaded to an image processing system to generate a 3D building model that is returned to the user. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows, doors or roofing.

Abstract: The present invention relates to a mutant transaminase with increased transaminase activity relative to the wild-type transaminase, a fusion protein comprising the transaminase, a polynucleotide coding for the transaminase, a host cell comprising the polynucleotide, mutant transaminase and/or fusion protein, a method of producing an amine with the mutant transaminase or fusion protein and the use of the mutant transaminase or fusion protein for the production of an amine.

Abstract: A system is provided including a database that ingests data from disparate image sources, with a variety of image metadata types and qualities, and manages images geospatially through the creation and continued refinement of camera solutions for each data object included. These camera solutions are calculated and refined by the database as additional data enters the system that could affect the solutions, through a combination of the application of image metadata towards image processing methods and the use of optical-only computer vision techniques. The database continually generates data quality metrics and relevant imagery and geometry analytics, which drive future collection tasking, system analytics, and human quality control requirements.

Abstract: A process for graphically guiding a user of a capture device (e.g., smartphone) to more accurately and completely capture a series of ground-level images of a building. Ground-level images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16 for an entire building) of ground level images from multiple angles and/or distances. The series of captured ground level images may be uploaded to an image processing system to create a 3D building model and returned to the user or processed locally. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows or doors.

Abstract: A geospatially accurate 3D model of a building or collection of buildings is used to communicate any type of geo-specific information by way of uniquely recognizable visual or non-visual highlighting such as color or texture coded building visualizations on rooftops or other objects within the 3D model.

Abstract: A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D building) model using known architectural dimensions. The system identifies architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: Imagery is used to identify architectural elements that have known architectural patterns. Feature sets associated with a surface and architectural elements in a building model image are compared with known architectural standards of materials to determine the surface building materials and architectural details of a textured building model. In addition, specific texture patterns can assist final material selections for a repair/replacement.