Image analysis – Pattern recognition – Classification
Reexamination Certificate
2007-09-25
2007-09-25
Mariam, Daniel (Department: 2624)
Image analysis
Pattern recognition
Classification
Reexamination Certificate
active
10609974
ABSTRACT:
Systems and methods for annotating a face in a digital image are described. In one aspect, a probability model is trained by mapping one or more sets of sample facial features to corresponding names of individuals. A face from an input data set of at least one the digital image is then detected. Facial features are then automatically extracted from the detected face. A similarity measure is them modeled as a posterior probability that the facial features match a particular set of features identified in the probability model. The similarity measure is statistically learned. A name is then inferred as a function of the similarity measure. The face is then annotated with the name.
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Chen Longbin
Li Mingjing
Zhang Hong-Jiang
Zhang Lei
Lee & Hayes PLLC
Mariam Daniel
Microsoft Corporation
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