Classification and organization of consumer digital images using workflow, and face detection and recognition

A method of classifying and archiving images including face regions that are acquired with an image acquisition component, wherein the method comprises:

• using a processor;
• identifying a group of pixels corresponding to a face region within digital image data acquired by the acquisition device;
• extracting a set of face analysis parameter values from said face region, said set of face analysis parameter values comprising a faceprint associated with said face region that comprises a vector defined by a set of values for a set of face classifier parameters mapped into a faceprint space within one or more existing face classes or within a new face class defined as including one or more faceprints that are defined by vectors defined by a set of values that fall within a certain geometric distance of the vector defining a faceprint data range;
• determining a first reference faceprint for a person using a reference image captured in predetermined face-portrait conditions;
• determining a second reference faceprint for a person using a reference image captured using ambient conditions;
• analyzing said first and second reference faceprints to determine a baseline faceprint and a range of variability from said baseline associated with said person;
• and
• storing results of said analyzing and using said results in the subsequent recognition of said person in a subsequent image acquired under ambient conditions.

One or more non-transitory computer-readable media having code embedded therein for programming a processor to perform a method of classifying and archiving images including face regions that are acquired with an image acquisition component, wherein the method comprises:

• identifying a group of pixels corresponding to a face region within digital image data acquired by the acquisition device;
• extracting a set of face analysis parameter values from said face region, said set of face analysis parameter values comprising a faceprint associated with said face region that comprises a vector defined by a set of values for a set of face classifier parameters mapped into a faceprint space within one or more existing face classes or within a new face class defined as including one or more faceprints that are defined by vectors defined by a set of values that fall within a certain geometric distance of the vector defining a faceprint data range;
• determining a first reference faceprint for a person using a reference image captured in predetermined face-portrait conditions;
• determining a second reference faceprint for a person using a reference image captured using ambient conditions;
• analyzing said first and second reference faceprints to determine a baseline faceprint and a range of variability from said baseline associated with said person;
• storing results of said analyzing and using said results in the subsequent recognition of said person in a subsequent image acquired under ambient conditions.