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. © 2012 Springer-Verlag.
CITATION STYLE
Yamaguchi, O. (2012). Face recognition technology and its real-world application. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7143 LNCS, pp. 28–34). https://doi.org/10.1007/978-3-642-27387-2_4
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