IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 81 citations · 22 references
ComputingComputer ScienceComputer VisionFeature EngineeringMachine LearningFace RecognitionFacial ExpressionFeature DescriptionPattern RecognitionRepresentation LearningShape RepresentationFace Feature ExtractionFace IdentificationFace Representation LearningFacial Expression RecognitionIllumination InvariancePartial Face Recognition
In this paper, we propose a novel line feature-based face recognition algorithm. A face is represented by the Face-ARG model, where all the geometric quantities and the structural information are encoded in an Attributed Relational Graph (ARG) structure, then the partial ARG matching is done for matching Face-ARG's. Experimental results demonstrate that the proposed algorithm is quite robust to various facial expression changes, varying illumination conditions and occlusion, even when a single sample per person is given.
22
Learning the parts of objects by non-negative matrix factorization
Daniel D. Lee, H. Sebastian Seung · Nature · 1999 · 14.1K citations
Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience · 1991 · 13.8K citations · Full text
Aleix M. Martı́nez · CTIT technical reports series · 1998 · 2.8K citations