Abstract:
Aspects of this disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.
Abstract:
Methods and systems are provided that use images to determine lighting information for an object. A computing device can receive an image of the object. For a pixel of the image, the computing device can: apply a first lighting model to determine a first estimate of a bi-directional lighting function (BRDF) for the object at the pixel, apply a second lighting model to determine a second estimate of the BRDF for the object at the pixel, determine a third estimate of the BRDF based on the first and second estimates, and store the third estimate of the BRDF in lighting-storage data. The computing device can provide the lighting-storage data. The BRDF can utilize a number of lighting parameters, such as a normal vector and albedo, reflectivity, and roughness values.
Abstract:
Implementations relate to presenting search results to a user. In particular, disclosed techniques include presenting both image search results and 3D model search results to a user. The user can manipulate the 3D model depicted in the 3D model search results by rotating, translating or zooming. Implementations thus provide a rich synergistic exploration experience to the user.
Abstract:
Aspects of this disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.
Abstract:
A query may be associated with 3D models based on the relevancy of each 3D model to the query. For a given query, a set of views are selected from a 3D model. Relevance scores are assigned to the views based on image features that are shared with popular on-line images that are accessed based on the query. The relevance scores of the views are aggregated to provide the 3D model with a relevance score. In response to a user search for a 3D model, the model having the highest relevance score for a query that matches the search is selected and returned to the user. The 3D model may be displayed with the 2D view that has the highest relevance score. In some cases, a set of 3D models having the highest relevance scores is returned to the user such that the user may select an appropriate 3D model.
Abstract:
Methods and systems are provided that use images to determine lighting information for an object. A computing device can receive an image of the object. For a pixel of the image, the computing device can: apply a first lighting model to determine a first estimate of a bi-directional lighting function (BRDF) for the object at the pixel, apply a second lighting model to determine a second estimate of the BRDF for the object at the pixel, determine a third estimate of the BRDF based on the first and second estimates, and store the third estimate of the BRDF in lighting-storage data. The computing device can provide the lighting-storage data. The BRDF can utilize a number of lighting parameters, such as a normal vector and albedo, reflectivity, and roughness values.
Abstract:
Aspects of the present disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.
Abstract:
In one aspect, a system and method is provided that matches images that are associated with street addresses with images that are associated with locations that are stored with respect to another reference system, such as latitude/longitude. If the images match, the street address is associated with the location. In a further aspect, text contained in the images is extracted and associated with the street address as well.
Abstract:
Initial trajectory data that provides an initial description of an approximate trajectory of a device during a time period, and correction data that indicates a location of the device outside the approximate trajectory of the device within the time period, are received. A modified trajectory data that provides a modified description of a corrected trajectory of the device is generated. In particular, terms to express (i) location constraints that limit deformation of the approximate trajectory of the device and (ii) a modification constraint that limits departure of the corrected trajectory of the device from the location indicated by the correction data are generated, and the initial description of the approximate trajectory of the device is modified using the generated terms.
Abstract:
Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.