Patent · US Expired

System and method of face recognition using proportions of learned model

US7308133B2 · kind B2 · utility

10Cited by

1References

19Claims

0Family size

Assignee

KONINKLIJKE PHILIPS ELECTRONICS NV · NL

Inventors

Srinivas Gutta · Buchanan, US
Miroslav Trajkovic · Ossining, US
Vasanth Philomin · Stolberg, DE

Key dates

Filing date	Sep 28, 2001
Grant date	Dec 11, 2007
Priority date	—
Expiry date	May 4, 2023

Classification

Technology area (CPC G)Physics
CPC primaryG06V40/172
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system and method for classifying facial image data, the method comprising the steps of: training a classifier device for recognizing one or more facial images and obtaining corresponding learned models the facial images used for training; inputting a vector including data representing a portion of an unknown facial image to be recognized into the classifier; classifying the portion of the unknown facial image according to a classification method; repeating inputting and classifying steps using a different portion of the unknown facial image at each iteration; and, identifying a single class result from the different portions input to the classifier.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.