Face extraction from non-uniform background and recognition in compressed domain

Tsapatsoulis, Nicolas; Doulamis, Nikolaos; Doulamis, Anastasios; Kollias, Stefanos

dc.contributor.author	Tsapatsoulis, Nicolas	en
dc.contributor.author	Doulamis, Nikolaos	en
dc.contributor.author	Doulamis, Anastasios	en
dc.contributor.author	Kollias, Stefanos	en
dc.date.accessioned	2014-03-01T02:41:32Z
dc.date.available	2014-03-01T02:41:32Z
dc.date.issued	1998	en
dc.identifier.issn	07367791	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30519
dc.subject	Automatic Detection	en
dc.subject	Computational Complexity	en
dc.subject	Face Recognition	en
dc.subject	Human Identification	en
dc.subject	Size Distribution	en
dc.subject	Neural Network	en
dc.subject.other	Automation	en
dc.subject.other	Computational complexity	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image compression	en
dc.subject.other	Image quality	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Neural networks	en
dc.subject.other	Object recognition	en
dc.subject.other	Face extraction	en
dc.subject.other	Morphological size distribution transform	en
dc.subject.other	Retrainable neural networks	en
dc.subject.other	Pattern recognition systems	en
dc.title	Face extraction from non-uniform background and recognition in compressed domain	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1998.678080	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1998.678080	en
heal.publicationDate	1998	en
heal.abstract	A complete face recognition system is proposed in this paper by introducing the concepts of foreground objects, which are currently used in the MPEG-4 standardization phase, to human identification. The system automatically detects and extracts the human face from the background, even if is not uniform, based on a combination of a retrainable neural network structure and the morphological size distribution technique. In order to combine face images of high quality and low computational complexity, the recognition stage is performed in compressed domain. Thus, in contrast to existing recognition schemes, the face images are available in their original quality and not only in their transformed representation.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en
dc.identifier.doi	10.1109/ICASSP.1998.678080	en
dc.identifier.volume	5	en
dc.identifier.spage	2701	en
dc.identifier.epage	2704	en