Abstract:
One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.
Abstract:
A photo localization application is configured to determine the location that an image depicts relative to a 3D representation of a structure. The 3D representation may be a 3D model, color range scan, or gray scale range scan of the structure. The image depicts a particular section of the structure. The photo localization application extracts and stores features from the 3D representation in a database. The photo localization application then extracts features from the image and compares those features against the database to identify matching features. The matching features form a location fingerprint, from which the photo localization application determines the location that the image depicts, relative to the 3D representation. The location allows the user to better understand and communicate information captured by the image.
Abstract:
A photo localization application is configured to determine the location that an image depicts relative to a 3D representation of a structure. The 3D representation may be a 3D model, color range scan, or gray scale range scan of the structure. The image depicts a particular section of the structure. The photo localization application extracts and stores features from the 3D representation in a database. The photo localization application then extracts features from the image and compares those features against the database to identify matching features. The matching features form a location fingerprint, from which the photo localization application determines the location that the image depicts, relative to the 3D representation. The location allows the user to better understand and communicate information captured by the image.
Abstract:
One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.
Abstract:
One embodiment of the present application sets forth a method for playback of a sense-making operation. The method includes receiving first session data that includes a set of timeline steps. Each timeline step included in the set of timeline steps corresponds to a user action performed on a data set. The method further includes receiving a playback command to display a first sequence of timeline steps included in the set of timeline steps. The method further includes rendering a first graph for display based on at least one timeline step included in the first sequence of timeline steps.
Abstract:
In various embodiments, a visualization engine generates graphs that facilitate sense making operations on data sets. A graph includes nodes that are associated with a data set and edges that represent relationships between the nodes. In operation, the visualization engine computes pairwise similarities between the nodes. Subsequently, the visualization engine computes a layout for the graph based on the pairwise similarities and user-specified constraints. Finally, the visualization engine renders a graph for display based on the layout, the nodes, and the edges. Advantageously, by interactively specifying constraints and then inspecting the topology of the automatically generated graph, the user may efficiently explore salient aspects of the data set.
Abstract:
A computer-implemented method for manipulating graphics objects within a display viewed by an end-user is disclosed. The method involves: receiving motion information generated in response to the end-user moving an object that is external to the display; determining at least one zone of motion in which the end-user moves the object; determining a first motion type associated with the movement of the object within the at least one zone of motion; and based on the at least one zone of motion and the first motion type, determining at least one change to a viewpoint associated with one or more graphics objects displayed to the end-user within the display. The at least one change to the viewpoint causes an alteration in how the one or more graphics objects are displayed to the end-user within the display.
Abstract:
One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.