Classification system for consumer digital images using automatic workflow and face detection and recognition
作者： Constantin Vertran , Stefanita Ciurel , Yury Prilutsky , Peter Corcoran , Eran Steinberg
DOI:
关键词: Normalization (statistics) 、 Digital image 、 Face detection 、 Classifier (UML) 、 Workflow 、 Computer science 、 Computer vision 、 Digital Data Storage 、 Facial recognition system 、 Artificial intelligence
摘要: A processor-based system operating according to digitally-embedded programming instructions includes a face detection module for identifying regions within digital images. normalization generates normalized version of the region. recognition automatically extracts set classifier parameter values from region that are referred as faceprint. workflow compares extracted faceprint database archived faceprints previously determined correspond known identities. The determines based on comparing whether new corresponds any identities, and associates with or identity database. serves archive data corresponding its associated parent image associating by one more storage media.
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