US 12,243,309 B2
Repeatability predictions of interest points
Dung Anh Doan, Prospect (AU); Daniyar Turmukhambetov, London (GB); and Soohyun Bae, Los Gatos, CA (US)
Assigned to Niantic, Inc., San Francisco, CA (US)
Filed by Niantic, Inc., San Francisco, CA (US)
Filed on Apr. 27, 2022, as Appl. No. 17/730,555.
Claims priority of provisional application 63/182,648, filed on Apr. 30, 2021.
Prior Publication US 2022/0351518 A1, Nov. 3, 2022
Int. Cl. G06V 20/50 (2022.01); G06T 7/73 (2017.01); G06V 10/774 (2022.01); G06V 20/90 (2022.01)
CPC G06V 20/50 (2022.01) [G06T 7/74 (2017.01); G06V 10/774 (2022.01); G06V 20/90 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30244 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving an identification of a location of a client device;
identifying a plurality of interest points located in the vicinity of the location of the client device;
determining a repeatability score of each of the identified interest points;
selecting a subset of interest points based on the determined repeatability score of each of the identified interest points;
generate a summary map of a vicinity of the location of the client device based on the selected subset of interest points; and
sending the summary map to the client device.