Systems, apparatuses, and methods are provided for determining the geographic location of an end-user device (e.g., vehicle, mobile phone, smart watch, etc.). An end-user device may collect a depth map at a location in a path network. Feature geometries may be obtained from a fingerprint database in proximity to the location in the path network. The depth map may be oriented with the feature geometries of the fingerprint. Control points from an extracted feature geometry in the depth map may be compared with control points within the fingerprint. Match rates may be calculated based on the comparison, and a geographic location of the end-user device may be determined when an overall match rate exceeds a minimum threshold value.

A key model identification and feedback system includes a key identification housing, a master key receiving aperture, a master key identifier, a processor in communication with the master key identifier, and a feedback module. The processor is configured to access a database defining a plurality of known key models, compare the physical characteristics of the master key with physical characteristics of the known key models in the database to identify a model of the master key, and communicate the model of the master key to the feedback module coupled to the key identification housing. The feedback module, responsive to the communication from the processor, outputs an indication of the model of the master key and directions to a location remote from the key identification housing where a key blank having the same model of the master key is available for duplicating the master key.

Aspects of the present invention disclose a method, computer program product, and system for analyzing an image. The method includes one or more processors identifying a document that includes (i) at least one image and (ii) unstructured text that is situated proximate to the image, wherein both the image and the unstructured text are concurrently displayed in the document. The method further includes identifying one or more potential locations depicted in the image included in the identified document, based on an analysis of the unstructured text that is situated proximate to the image. The method further includes identifying a set of images of a first potential location from the identified one or more potential locations. The method further includes determining whether an image in the set of images of the first potential location substantially matches the image included in the identified document.

The present invention relates to a method and system for facilitating access to recorded data. The system comprises an interface and a processing device. The interface is arranged to receive data and the processing device is arranged to separate the received data in data subsets, compress each data subset and assign an identifier to each compressed data subset, thereby creating data units each comprising a compressed data subset and an associated identifier, the processing device further being arranged to establish an index on the basis of the assigned identifiers.

A set of images that each include a comparable date, time, and location of image capture, and a directional bearing of image capture are correlated. The directional bearing of image capture specifies a direction of image capture relative to the respective location of image capture of each image. By analysis of image content within the correlated images, a determination is made that the correlated images include different directional representations of a single event, and that the single event is distinct from static fixed-location points of interest. Using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images is identified as a dynamic attraction.

Systems, apparatuses, and methods are provided for determining the geographic location of an end-user device (e.g., vehicle, mobile phone, smart watch, etc.). An end-user device may collect a depth map at a location in a path network. Feature geometries may be obtained from a fingerprint database in proximity to the location in the path network. The depth map may be oriented with the feature geometries of the fingerprint. Control points from an extracted feature geometry in the depth map may be compared with control points within the fingerprint. Match rates may be calculated based on the comparison, and a geographic location of the end-user device may be determined when an overall match rate exceeds a minimum threshold value.

A key model identification and feedback system includes a key identification housing, a master key receiving aperture, a master key identifier, a processor in communication with the master key identifier, and a feedback module. The processor is configured to access a database defining a plurality of known key models, compare the physical characteristics of the master key with physical characteristics of the known key models in the database to identify a model of the master key, and communicate the model of the master key to the feedback module coupled to the key identification housing. The feedback module, responsive to the communication from the processor, outputs an indication of the model of the master key and directions to a location remote from the key identification housing where a key blank having the same model of the master key is available for duplicating the master key.

A set of images that each include a time and a date of image capture, a location of image capture, and a directional bearing of image capture are evaluated. The direction bearing of image capture specifies a direction of image capture relative to the respective location of image capture of each image. Images are correlated among the set of images that include a comparable date, time, and location of image capture. By analysis of image content within the correlated images, a determination is made that the correlated images include different directional representations of a single event, and that the single event is distinct from static fixed-location points of interest. Using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images is identified as a dynamic attraction.

A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.

Aspects of the present invention relate to providing see-through computer display optics.