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1. (US20170068842) Facial recognition using social networking information

Office : United States of America
Application Number: 15353066 Application Date: 16.11.2016
Publication Number: 20170068842 Publication Date: 09.03.2017
Grant Number: 10133915 Grant Date: 20.11.2018
Publication Kind : B2
IPC:
G06K 9/00
G06K 9/72
G06Q 50/00
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
72
using context analysis based on the provisionally recognised identity of a number of successive patterns, e.g. a word
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50
Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
CPC:
G06K 9/00228
G06K 9/00288
G06K 9/00677
G06K 9/72
G06Q 50/01
Applicants: Facebook, Inc.
Inventors: David Harry Garcia
Luke St. Clair
Jenny Yuen
Agents: Baker Botts L.L.P.
Priority Data:
Title: (EN) Facial recognition using social networking information
Abstract: front page image
(EN)

In particular embodiments, one or more images associated with a primary user are received. The image(s) may comprise single images, a series of related images, or video frames. In each image, one or more faces are detected and/or tracked. For each face, a set of one or more candidates are selected who may be identified with the face. A candidate score is calculated for each candidate based on a computed measure of affinity of the primary user for a particular candidate, a facial recognition score comparing the candidate to the face, and a geographic proximity of the candidate to the primary user at a time when the one or more images were created. A winning candidate is selected based on the candidate scores.