Person Filtering in Augmented Reality
In one embodiment, a method includes receiving first information about a proximity of a first user, the first information comprising one or more images or one or more sounds of at least a portion of the proximity; identifying one or more second users within the proximity of the first user based at least in part on the first information; retrieving second information about each second user from a graph of a social-networking system, the graph comprising a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user, at least one node in the graph corresponding to each second user; categorizing the second users into one or more groups based on the second information about each second user; and sending the second information about each second user in a specific group to the first user.
1 . A method comprising:
by a server computing device, receiving first information about a proximity of a first user, the first information comprising one or more images or one or more sounds of at least a portion of the proximity, the first information having been obtained from the proximity by a client computing device of the first user automatically and without manual user input and with one or more sensors of the client computing device;
by the server computing device, identifying one or more second users within the proximity of the first user based at least in part on the first information;
by the server computing device, retrieving second information about each second user from a graph of a social-networking system, the graph comprising a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user, at least one node in the graph corresponding to each second user;
by the server computing device, categorizing the second users into one or more groups based on the second information about each second user; and
by the server computing device, sending the second information about each second user in a specific group to the first user.
2 . The method of claim 1 , wherein the first information comprises a video of at least a portion of the proximity.
3 . The method of claim 1 , wherein the first information comprises a still image of at least a portion of the proximity.
4 . The method of claim 1 , wherein the first information comprises sounds.
5 . The method of claim 1 , wherein retrieval of the second information is subject to one or more privacy settings associated with each second user.
6 . One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
receive first information about a proximity of a first user, the first information comprising one or more images or one or more sounds of at least a portion of the proximity, the first information having been obtained from the proximity by a client computing device of the first user automatically and without manual user input and with one or more sensors of the client computing device;
identify one or more second users within the proximity of the first user based at least in part on the first information;
retrieve second information about each second user from a graph of a social-networking system, the graph comprising a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user, at least one node in the graph corresponding to each second user;
categorize the second users into one or more groups based on the second information about each second user; and
send the second information about each second user in a specific group to the first user.
7 . The media of claim 6 , wherein the first information comprises a video of at least a portion of the proximity.
8 . The media of claim 6 , wherein the first information comprises a still image of at least a portion of the proximity.
9 . The media of claim 6 , wherein the first information comprises sounds.
10 . The media of claim 6 , wherein retrieval of the second information is subject to one or more privacy settings associated with each second user.
11 . A system comprising:
one or more processors; and
a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
receive first information about a proximity of a first user, the first information comprising one or more images or one or more sounds of at least a portion of the proximity, the first information having been obtained from the proximity by a client computing device of the first user automatically and without manual user input and with one or more sensors of the client computing device;
identify one or more second users within the proximity of the first user based at least in part on the first information;
retrieve second information about each second user from a graph of a social-networking system, the graph comprising a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user, at least one node in the graph corresponding to each second user;
categorize the second users into one or more groups based on the second information about each second user; and
send the second information about each second user in a specific group to the first user.
12 . The system of claim 11 , wherein the first information comprises a video of at least a portion of the proximity.
13 . The system of claim 11 , wherein the first information comprises a still image of at least a portion of the proximity.
14 . The system of claim 11 , wherein the first information comprises sounds.
15 . The system of claim 11 , wherein retrieval of the second information is subject to one or more privacy settings associated with each second user