Abstract:
A method truncates text entered via a text box user interface element. The method includes displaying a user interface on a display device of a client computing device, where the user interface includes first and second text entry fields within a collapsible text entry box. The method further includes receiving a first stream of characters into the first text entry field, initially displaying all characters of the first stream as the first text entry field receives the first stream, truncating the displayed characters of the first stream, resolving the truncated displayed characters of the first stream to a first object displayed within the collapsible text entry box, receiving a second stream of characters into the second text entry field, and further truncating the displayed characters of the first stream while receiving the second stream of characters into the second text entry field.
Abstract:
A system and method is provided that identifies dynamic objects within a set of photographic images. The objects may be identified as dynamic based on depth data associated with the images. The depth data may also be used to determine the potential states of the dynamic objects within the set of images. A three-dimensional model be created in which the dynamic objects are displayed in accordance with one of the potential states.
Abstract:
In one aspect, a map is provided for display by one or more computing devices. The map includes one or more polygons. The one or more computing devices receive a zoom request for viewing the map. The one or more computing devices then determines whether a visual threshold has been reached based at least in part on the zoom request. When the visual threshold has been reached, the one or more computing devices identify a polygon of the one or more polygons. The one or more computing devices then provide for display alternate imagery corresponding to the polygon on the map.
Abstract:
A system and method is provided for determining whether images of a geographic location identify features with characteristics consistent with shadows cast by people, and using such determination to annotate map information. If such features are identified at the location, the map may be annotated to indicate that the location is frequented by pedestrians.
Abstract:
Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
Abstract:
Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
Abstract:
Provided is a process for personalizing an interactive map that includes the following: receiving a user request to view an interactive map; determining a map extent responsive to the request; obtaining a profile of the user; personalizing, with a computer, an interactive map based on the profile; and presenting the personalized map to the user. Personalizing includes determining whether to depict geographic features within the map extent in the personalized map based on the profile, and formatting a depiction of the features to have, for each respective feature, a prominence determined based on the profile.
Abstract:
Systems and methods for displaying labels in conjunction with geographic imagery provided, for instance, by a geographic information system, such as a mapping service or a virtual globe application are provided. Candidate positions for displaying labels in conjunction with geographic imagery can be determined based at least in part on a virtual camera viewpoint. The candidate positions can be associated with non-occluded points on three-dimensional models corresponding to the labels. Adjusted positions for labels can be determined form the plurality of candidate positions. The labels can be provided for display in conjunction with the geographic imagery at the adjusted positions.
Abstract:
A system receives a description of a first set of elements representing physical and/or logical entities in a geographic area to be displayed on a digital map. The system determines current boundaries of a viewport within which the digital map is to be displayed and generates a metric indicative of how frequently the elements in the first set occur within the current boundaries of the viewport relative to at least a second set of elements displayed on the digital map. The system determines one or more visual attributes for the first set of elements based at least in part on the generated metric and displays representations of the first set of elements on the digital map in accordance with the determined one or more visual attributes.
Abstract:
Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.