Invention Grant
- Patent Title: Facial image bucketing with expectation maximization and facial coordinates
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Application No.: US15168038Application Date: 2016-05-28
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Publication No.: US09639739B2Publication Date: 2017-05-02
- Inventor: Michael Poplavski , Scott Schumacher , Prachi Snehal , Sean J. Welleck , Alan Xia , Yinle Zhou
- 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 Marcia L. Doubet
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F17/30 ; G06K9/62 ; G06K9/64

Abstract:
Facial image bucketing is disclosed, whereby a query for facial image recognition compares the facial image against existing candidate images. Rather than comparing the facial image to each candidate image, the candidate images are organized or clustered into buckets according to their facial similarities, and the facial image is then compared to the image(s) in most-likely one(s) of the buckets. The organizing uses particular selected facial features, computes distance between the facial features, and selects ones of the computed distances to determine which facial images should be organized into the same bucket.
Public/Granted literature
- US20160275340A1 Facial Image Bucketing with Expectation Maximization and Facial Coordinates Public/Granted day:2016-09-22
Information query