Abstract: An automated yard audit system is provided. The automated yard audit system includes one or more light detection and ranging (LIDAR) sensors, which are each configured to scan at least a portion of a fulfillment yard, and a controller. The controller is configured to receive scanning data of the yard from each of the LIDAR sensors and generate a virtual representation of the fulfillment yard based on the scanning data. The controller is also configured to identify one or more objects in the fulfillment yard, track movement of the one or more objects in the fulfillment yard, perform an audit of the fulfillment yard, and determine capacity information of the fulfillment yard, based on the virtual representation.

Abstract: The described embodiments include systems, methods, and apparatuses for increased efficiency processing flow. One method includes a plurality of stages configured to process an execution graph that includes a plurality of logical nodes with defined properties and resources associated with each logical node of the plurality of logical nodes, a recirculating ring buffer, wherein the recirculating ring buffer is configured to holding only any one of a control information, input, and, or out data necessary to stream a temporary data between each logical node of the execution graph, and a data producer, wherein the data producer is configured to stall from writing control information into a command buffer upon the command buffer being full, preventing command buffer over-writing.

Abstract: A visualization system including multiple light sources, an image sensor configured to detect imaging data from the multiple light sources, and a control circuit is disclosed. At least one of the light sources is configured to emit a pattern of structured light. The control circuit is configured to receive the imaging data from the image sensor, generate a three-dimensional digital representation of the anatomical structure from the pattern of structured light detected by the imaging data, obtain metadata from the imaging data, overlay the metadata on the three-dimensional digital representation, receive updated imaging data from the image sensor, and generate an updated three-dimensional digital representation of the anatomical structure based on the updated imaging data. The visualization system can be communicatively coupled to a situational awareness module configured to determine a surgical scenario based on input signals from multiple surgical devices.

Abstract: Methods and ray tracing units are provided for performing intersection testing for use in rendering an image of a 3-D scene. A hierarchical acceleration structure may be traversed by traversing one or more upper levels of nodes of the hierarchical acceleration structure according to a first traversal technique, the first traversal technique being a depth-first traversal technique; and traversing one or more lower levels of nodes of the hierarchical acceleration structure according to a second traversal technique, the second traversal technique not being a depth-first traversal technique. Results of traversing the hierarchical acceleration structure are used for rendering the image of the 3-D scene. The upper levels of the acceleration structure may be defined according to a spatial subdivision structure, whereas the lower levels of the acceleration structure may be defined according to a bounding volume structure.

Abstract: The invention describes a computer-implemented method and an optimized implant site simulation system which performs a simulation of a damaged oral cavity of a patient and defines an implant site adapted to receive a dental implant to repair the damage observed. The invention further describes the optimized implant site simulated (SI) and a dental implant (ID) couplable to the optimized implant site (SI) simulated. The invention further describes a computer program to perform the steps of the method and an optimized implant site (SI) simulation system.

Abstract: An improved augmented reality object handling system, including: a display device; a camera functionally coupled to the display such that visual data from the camera is displayed on the display; an augmented reality object, including rendering data configured to provide instructions for displaying the AR object on the display; behavior instructions, the behavior instructions including interaction instructions for how the AR object interacts with visual data from the camera and/or other AR objects; and a characteristic interaction broker in communication with the AR object, wherein the interaction broker loads into memory interaction instructions from associated AR objects, tracks positions of associated AR objects, and triggers interactions based on loaded interaction instructions, characteristics, and tracked positions.

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 process for creating, responsive to a desired analysis, estimate information from received imagery by determining whether the imagery meets a minimum criterion for creating a multi-dimensional model that can address the desired analysis and building an aggregate set of images meeting the minimum criterion from which a multi-dimensional model is then built and an estimate responsive to the desired analysis is derived. The multi-dimensional model, and the responsive estimate, may be refined as additional images are provided to the aggregate set. Desired analyses may include dimensions such as square footage of a roof for building objects.

Abstract: The invention relates to a method for modelling a patient-individualised denture part (140). The method comprises providing a digital three-dimensional patient situation model (118), a digital three-dimensional denture part model (114), and one or more geometric adaptation criteria defined using patient-specific delimiting surfaces. A denture part geometry of the denture part model is adapted in a patient-individualised manner to a patient situation geometry of the patient situation model. The patient-individualised adaptation process also comprises repeatedly interactively making user-defined changes to the denture part model, wherein the denture part model dynamically passes through a sequence of intermediate states during the course of each of the user-defined changes until a change state resulting from each user-defined change is reached.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A closed-loop color conversion process is used to improve compression while taking into consideration distortion introduced throughout the point cloud compression process.

Abstract: A method includes retrieving a map of a 3D geometry of an environment the map including a plurality of non-spatial attribute values each corresponding to one of a plurality of non-spatial attributes and indicative of a plurality of non-spatial sensor readings acquired throughout the environment, receiving a plurality of sensor readings from a device within the environment wherein each of the sensor readings corresponds to at least one of the non-spatial attributes and matching the plurality of received sensor readings to at least one location in the map to produce a determined sensor location.

Abstract: A bicycle system with omnidirectional viewing having front-facing, stereoscopic video camera devices relying on computer vision. The front-facing, stereoscopic video camera devices positioned on the bicycle help identify, classify, and recommend a safe trajectory around obstacles in real-time using augmented reality. The bicycle system details safety-related and guidance-related information.

Abstract: A method and a corresponding system are provided. The method comprises steps of providing 2D images and subsequently detecting outlines of a primary structure in each of the images. A visual representation of the 2D images is generated and the 2D images are then arranged as 2D slices in a 3D visual representation. To this end, at least two of the 2D images are taken at different imaging angles. The method provides a 3D visual representation of a region of interest comprising a primary structure to support a spatial sense of a user.

Abstract: A redundant tracking system comprising multiple redundant tracking sub-systems, enabling seamless transitions between such tracking sub-systems, provides a solution to this problem by merging multiple tracking approaches into a single tracking system. This system is able to combine tracking objects with six degrees of freedom (6DoF) and 3DoF through combining and transitioning between multiple tracking systems based on the availability of tracking indicia tracked by the tracking systems. Thus, as the indicia tracked by any one tracking system becomes unavailable, the redundant tracking system seamlessly switches between tracking in 6DoF and 3DoF thereby providing the user with an uninterrupted experience.

Abstract: According to embodiments herein, a device obtains visualization data that depicts at least one three-dimensional object. The device sanitizes the visualization data, in part by: identifying neighboring polygons of the at least one three-dimensional object and their windings, and correcting errors in the neighboring polygons and their windings. The device also decimates meshes of polygons in the sanitized visualization data, to form compressed visualization data, by: performing one or more sanity checks, prior to performing an atomic decimation operation or texture compression; and storing, by the device, the compressed visualization data in one or more files.

Abstract: A method including obtaining x-ray data for a multi-component object; processing the x-ray data to obtain at least first and second 3D representations of the object with respective first and second resolutions, the first resolution being higher than the second resolution; identifying a plurality of regions of the second 3D representation, each region corresponding to one of a number of components of the object, by at least identifying a number of initial regions of the second 3D representation, each initial region having pixel values in one of a plurality of ranges of pixel values, and adjusting each of the number of initial regions based on a comparison between the initial region and features derived from 2D sections of the object from the first 3D representation; and obtaining a 3D model.

Abstract: Disclosed are systems and methods for defining, bonding, and editing point cloud data points with primitives. In particular, a system may receive a point cloud with data points that are defined by positional and non-positional elements. The system may associate primitives to each data point based on a material or a property associated with the surface, feature, or article at a position in an imaged three-dimensional (“3D”) environment that corresponds to a particular position of the data point in the point cloud. The system may receive input for a first adjustment to at least one of the data point elements, and may edit point cloud by defining a second adjustment that modifies the first adjustment according to a rule of a particular primitive, and by applying the second adjustment to the at least one element of a first set of data points that are associated with the particular primitive.

Abstract: A graphical user interface (GUI) is configured for displaying surfaces of simulated objects within a scene. The GUI comprises a selector to choose between displaying the scene as: a plurality of particles, wherein each particle comprises a plurality of attributes; a plurality of ellipsoids formed from the plurality of particles, wherein dimensions and orientation of each ellipsoid depend on the number and direction of neighboring ellipsoids within a search radius of the ellipsoid; or one or more splatted or rasterized surfaces formed from the plurality of ellipsoids. The GUI further includes a display window within which the GUI displays the scene.

Abstract: A method for providing an immersive VR experience comprises defining in the computer memory, a model representing a three-dimensional model. The method further comprises producing field data based upon a simulation of the three-dimensional model. Additionally, the method comprises storing the field data within a data structure. The method also comprises extracting, for display, a surface of the three-dimensional model from a simulation model. The method additionally comprises creating a surface texture for the surface of the three-dimensional model from the field data. Further, the method comprises creating a query optimized grid from the calculated field data. Further still, the method comprises displaying a visualization of the calculated field data by means of the surface and the query optimized grid.

Abstract: Provided are systems and methods for animating a single image of a human body and applying effects. An example method includes providing a database of motions; receiving an input image including a body of a person; receiving a user input including a motion selected from the database of motions; segmenting the input image into a body portion and a background portion; fitting the body portion to a hair model; generating, based on the body portion and the selected motion, a video featuring the body of the person repeating the selected motion; where generating the video includes detecting positions of key points associated with a head of the person in a frame of the video, generating an image of hair of the person based on the positions of the key points and the hair model, and inserting the image of the hair in the frame; and displaying the generated video.