Sharing links in an augmented reality environment

A computer-implemented method, comprising:

• acquiring at least a partial image of a point of interest by a computing device, the at least the partial image corresponding to a point of view of a user of the computing device, the at least the partial image including one or more visual features;
• recognizing the point of interest by matching the one or more visual features associated with the point of interest against a plurality of candidate images;
• retrieving at least one link or content relating to the point of interest from a plurality of sources;
• causing the at least one link or content to be presented on a user interface layer of the computing device based at least in part upon a distance between the computing device and the point of interest, the point of view of the user, a user's profile, or a profile of an owner of the point of interest;
• determining at least one additional point of interest based at least upon the user's profile or the point of view of the user;
• determining whether a predetermined set of conditions satisfies a criterion;
• and
• causing one of an icon or symbol corresponding to the at least one additional point of interest to be presented on the user interface layer of the computing device, if the criterion is satisfied.

A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to:

• acquire at least a partial image of a point of interest from a user device, the at least the partial image corresponding to a point of view of a user;
• choose a first plurality of candidate images based at least upon a location of the user device, or the point of view of the user;
• compare the at least the partial image with each of the first plurality of the candidate images according to one or more image matching algorithms;
• calculate a confidence score for each of the first plurality of candidate images;
• select a first unique image that has the highest confidence score;
• cause at least one of first content or first links relating to the first unique image to be presented on a user interface layer of the user device;
• in response to the point of view of the user having changed more than a threshold value, choose a second plurality of candidate images based at least upon a new location of the user device or a new point of view of the user;
• compare a new at least a partial image with each of the second plurality of candidate images according to the one or more image matching algorithms;
• calculate a confidence score for each of the second plurality of candidate images;
• select a second unique image that has the highest confidence score;
• and
• cause at least one of second content or second links relating to the second unique image to be presented on the user interface layer of the user device.