Abstract
Facial image processing is a promising tool for consumer electronics and social infrastructure systems. In recent years, digital processing of a facial image can easily be performed with the spread of digital image apparatus, such as a digital camera and a mobile phone, by improvement of throughput of a computer. The performance of the face detection that is basic of the facial image processing improves drastically, and the computational cost has also decreased. It is the reason why that has expanded the application to various appliances. This paper introduces our group’s facial image processing algorithm as an example and trends of various applications using facial image processing in consumer electronics field and social infrastructure systems.KeywordsFace RecognitionLocal Binary PatternFace DetectionGesture RecognitionIndependent Component AnalysisThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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