Invention Grant
- Patent Title: Facial recognition encode analysis
-
Application No.: US15192091Application Date: 2016-06-24
-
Publication No.: US10282595B2Publication Date: 2019-05-07
- Inventor: Cecilia J. Aas
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Jay Wahlquist
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62

Abstract:
A method for facial recognition encode analysis comprises providing a training set of Gabor encoded arrays of face images from a database; and, for each encode array in the training set, evaluating the Gabor data to determine the accuracy of the fiducial points on which the encode array is based. The method also comprises training an outlier detection algorithm based on the evaluation of the encode arrays to obtain a decision function for a strength of accuracy of fiducial points in the encode arrays; and outputting the decision function for application to an encode array to be tested.
Public/Granted literature
- US20170372130A1 FACIAL RECOGNITION ENCODE ANALYSIS Public/Granted day:2017-12-28
Information query