The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 25, 2014
Filed:
Dec. 17, 2012
Google Inc., Mountain View, CA (US);
Hartwig Adam, Los Angeles, CA (US);
Johannes Steffens, Westeroverledingen, DE;
Keith Kiyohara, Mountain View, CA (US);
Harmut Neven, Malibu, CA (US);
Brian Westphal, Reno, NV (US);
Tobias Magnusson, Los Angeles, CA (US);
Gavin Doughtie, Pasadena, CA (US);
Henry Benjamin, Sherman Oaks, CA (US);
Michael Horowitz, Manhattan Beach, CA (US);
Hong-Kien Kenneth Ong, Rancho Santa Fe, CA (US);
Google Inc., Mountain View, CA (US);
Abstract
A method and apparatus for creating and updating a facial image database from a collection of digital images is disclosed. A set of detected faces from a digital image collection is stored in a facial image database, along with data pertaining to them. At least one facial recognition template for each face in the first set is computed, and the images in the set are grouped according to the facial recognition template into similarity groups. Another embodiment is a naming tool for assigning names to a plurality of faces detected in a digital image collection. A facial image database stores data pertaining to facial images detected in images of a digital image collection. In addition, the naming tool may include a graphical user interface, a face detection module that detects faces in images of the digital image collection and stores data pertaining to the detected faces in the facial image database, a face recognition module that computes at least one facial recognition template for each facial image in the facial image database, and a similarity grouping module that groups facial images in the facial image database according to the respective templates such that similar facial images belong to one similarity group.