Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6886
Title: Face extraction from non-uniform background and recognition in compressed domain
Authors: Tsapatsoulis, Nicolas 
Doulamis, Nikolaos D. 
Doulamis, Anastasios D. 
Kollias, Stefanos D. 
Keywords: Pattern recognition systems
Computational complexity
Image compression
Neural networks
Face--Identification
Issue Date: 1998
Publisher: IEEE Xplore
Source: IEEE international conference on acoustics, Speech and Signal Processing, ICASSP, Part 1 (of 6), 12-15 May 1998, Seattler, WA, USA
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 the 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
URI: http://ktisis.cut.ac.cy/handle/10488/6886
DOI: 10.1109/ICASSP.1998.678080
Rights: © Copyright 1998 IEEE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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