TECHNIQUES FOR ENABLING OR ESTABLISHING THE USE OF FACE RECOGNITION ALGORITHMS

• US 20110075934A1
• Filed: 12/07/2010
• Published: 03/31/2011
• Est. Priority Date: 03/12/2006
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Shah, Munjal, Lee, Kuang-Chih, Torresani, Lorenzo, Gokturk, Salih Burak, Vu, Diem, Anguelov, Dragomir, Vanhoucke, Vincent
• Granted Patent: US 8,630,493 B2
• Time in Patent Office: Days
• US Class Current: 382/190
• CPC Class Codes: G06V 10/7557 based on appearance, e.g. active appearance models [AAM]
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

Embodiments described herein facilitate or enhance the implementation of image recognition processes which can perform recognition on images to identify objects and/or faces by class or by people.

Claims

1. A computer-implemented method for performing recognition on an image, method comprising:

determining a region of an image where an object that is to be recognized is likely located;

for each of a plurality of features of the object that is to be recognized, determining a set of one or more hypotheses regions of the image that are likely locations of that feature in the object that is to be recognized.

determining a most likely location of at least some of the plurality of features using the set of one or more hypothesis regions for all of the plurality of features.

2. The method of claim 1, wherein the object is a face, and wherein the set of additional features include one or more features selected from a set consisting of eyes, a nose tip, ends of a mouth, ear locations, hairline, and eyebrows, as well as other parts of the face.

3. The method of claim 1, further comprising determining the plurality of features for the object using a predefined object model.

4. The method of claim 3, wherein the predefined model is a two-dimensional or three dimensional generic model.

5. The method of claim 1, wherein determining a set of one or more hypotheses regions of the image that includes deriving at least some of the hypotheses locations from the predefined object model, using one or more geometric constraints that exist between a likely location of two or more of the plurality of features.

6. The method of claim 1, further comprising determining a pose of the object that is to be recognized while concurrently determining the most likely location of at least some of the plurality of features.