Abstract: A three-dimensional imaging method and system for surface comprehensive geophysical prospecting, the method includes: acquiring detection data of a plurality of two-dimensional profiles of a surface detection site; forming two-dimensional profile resistivity data by geophysical inversion of the detection data; performing three-dimensional coordinate conversion on the two-dimensional profile resistivity data to obtain resistivity data of a three-dimensional coordinate system; and converting the resistivity data of the three-dimensional coordinate system into a three-dimensional model by using a Kriging interpolation method.

Abstract: An optical imaging and processing system includes an optical element and a processor configured to process the plurality of image frames to generate a three-dimensional model of at least a portion of the turbine component interior. The system may also include a display coupled to the processor to display the three-dimensional model. An operator may view and analyze the three-dimensional model on the display for defects. The processor may further be configured to automatically navigate the three-dimensional model to determine defects within the turbine component interior. The system may also include a repositioning device configured to reposition the optical element such that the optical element may capture the plurality of image frames from multiple vantage points within the turbine component interior.

Abstract: A method, a computer program product, and a computer system guide a user through dimensional relationships. The method includes receiving a plurality of images of a unit of a perspective of a user. When a number of corresponding three-dimensional points between a current image and a previous image is less than a registration threshold to perform a three-dimensional registration operation, the method includes performing a three-dimensional data augmentation operation based on two-dimensional data from the current image and the previous image to generate extended corresponding three-dimensional points. The method includes determining a three-dimensional transform function between the current image and the previous image based on the extended corresponding three-dimensional points.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: Techniques are described for using computing devices to perform automated operations to generate mapping information using inter-connected images of a defined area, and for using the generated mapping information in further automated manners. In at least some situations, the defined area includes an interior of a multi-room building, and the generated information includes a floor map of the building, such as from an automated analysis of multiple panorama images or other images acquired at various viewing locations within the building—in at least some such situations, the generating is further performed without having detailed information about distances from the images' viewing locations to walls or other objects in the surrounding building. The generated floor map and other mapping-related information may be used in various manners, including for controlling navigation of devices (e.g., autonomous vehicles), for display on one or more client devices in corresponding graphical user interfaces, etc.

Abstract: A state estimation system for a power conversion semiconductor apparatus in an embodiment includes an analysis processing unit and an estimation processing unit. The analysis processing unit projects points indicating a combination of a voltage detection value in first time history data of a voltage between the pair of main terminals detected when the pair of main terminals are forward-biased and when the pair of main terminals are reverse-biased and a current detection value in second time history data of detection values of both a forward current and a reverse current between the pair of main terminals onto a coordinate plane including a voltage axis and a current axis on the basis of the first time history data and the second time history data in the power conversion semiconductor apparatus including the pair of main terminals and derives a distribution of the projected points on the coordinate plane.

Abstract: A three-dimensional electrical resistivity tomography method and system belonging to the field of geological geophysical prospecting, the method including the steps of prospecting a region containing a geological anomaly with at least two prospecting modes respectively to acquire two-dimensional resistivity data of a corresponding detection plane; unifying coordinate systems of resistivity data points acquired in all prospecting modes, and extracting data points with the same coordinates; carrying out data fusion on extracted resistivity data at the same position by utilizing a principal component analysis method; and carrying out three-dimensional coordinate conversion on resistivity data acquired after fusion to form a three-dimensional model.

Abstract: In an approach, a processor, in response to detecting a new customer resource (CR) file: requests, the computing environment to deploy a plurality of function deployment components in the computing environment, where: the CR file indicates information of a plurality of functions of an application; the plurality of function deployment components request the computing environment to deploy a plurality of function components in the computing environment; and the plurality of function components execute the plurality of functions of the application; determines that each of the plurality of function components has been deployed in the computing environment; and in response to determining that each of the plurality of function components has been deployed in the computing environment, requests the computing environment to delete each of the plurality of deployed function deployment components.

Abstract: A computer-implemented method according to one embodiment includes identifying an event, utilizing a server device, determining a match between the event and an historical event, utilizing the server device, identifying historical data sharing behavior associated with the historical event, utilizing the server device, determining, by the server device, one or more data sharing actions to be performed during the event, utilizing the historical data sharing behavior, and automatically implementing the one or more data sharing actions in response to an initialization of the event, utilizing the server device.

Abstract: Techniques are described for using computing devices to perform automated operations to generate mapping information using inter-connected images of a defined area, and for using the generated mapping information in further automated manners. In at least some situations, the defined area includes an interior of a multi-room building, and the generated information includes a floor map of the building, such as from an automated analysis of multiple panorama images or other images acquired at various viewing locations within the building—in at least some such situations, the generating is further performed without having detailed information about distances from the images' viewing locations to walls or other objects in the surrounding building. The generated floor map and other mapping-related information may be used in various manners, including for controlling navigation of devices (e.g., autonomous vehicles), for display on one or more client devices in corresponding graphical user interfaces, etc.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: A method and system for determining causes. The method includes generating a set of cause indices. Each cause index includes a cause, at least one pattern, and a probability of the cause for the pattern. The method also includes receiving a data set, and determining that one or more indexed patterns match a pattern in the data set. Further, the method includes retrieving causes for the indexed patterns that match the pattern in the data set, as well as determining probabilities of the retrieved causes for the pattern in the data set.

Abstract: A method and system for determining causes. The method includes generating a set of cause indices. Each cause index includes a cause, at least one pattern, and a probability of the cause for the pattern. The method also includes receiving a data set, and determining that one or more indexed patterns match a pattern in the data set. Further, the method includes retrieving causes for the indexed patterns that match the pattern in the data set, as well as determining probabilities of the retrieved causes for the pattern in the data set.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to generate mapping information using inter-connected images of a defined area, and for using the generated mapping information in further automated manners. In at least some situations, the defined area includes an interior of a multi-room building, and the generated information includes a floor map of the building, such as from an automated analysis of multiple panorama images or other images acquired at various viewing locations within the building—in at least some such situations, the generating is further performed without having detailed information about distances from the images' viewing locations to walls or other objects in the surrounding building. The generated floor map and other mapping-related information may be used in various manners, including for controlling navigation of devices (e.g., autonomous vehicles), for display on one or more client devices in corresponding graphical user interfaces, etc.

Abstract: Techniques are described for, given two images taken at two viewing locations, generating and presenting an image transition sequence that simulates viewer movement between the viewing locations, such as without using information about relative distance between the viewing locations and other depth information to objects in an environment around the viewing locations. The start and end images for an image transition sequence may be part of panorama images acquired at the viewing locations, and generating of the image transition sequence may include selecting and using one of multiple types of transition sequences to perform rotating (e.g., from a start image's viewing direction to face toward the viewing location for the end image), zooming (e.g., to simulate moving forward), and/or blending of the end image with a modified version of the start image, with the resulting image transition sequence played as a video or other animation.

Abstract: Techniques are described for automated operations involving capturing and analyzing information from an interior of a house, building or other structure, for use in generating and providing a representation of that interior. Such techniques may include using a user's mobile device to capture visual data from multiple viewing locations (e.g., video captured while the mobile device is rotated for some or all of a full 360 degree rotation at each viewing location) within multiple rooms, capturing data linking the multiple viewing locations, analyzing each viewing location's visual data to create a panorama image from that viewing location, analyzing the linking data to determine relative positions/directions between at least some viewing locations, creating inter-panorama links in the panoramas to each of one or more other panoramas based on such determined positions/directions, and providing information to display multiple linked panorama images to represent the interior.

Abstract: Techniques are described for automated operations involving acquiring and analyzing information from an interior of a house, building or other structure, for use in generating and providing a representation of that interior. Such techniques may include using a user's mobile device to capture video data from multiple viewing locations (e.g., 360° video at each viewing location) within multiple rooms, and capturing data linking the multiple viewing locations (e.g.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.