Paper Info
Title
Design and Implementation of a Reconfigurable, Embedded Real-Time Face Detection System
Abstract
This paper presents the design and implementation of a real time face detection system on an embedded reconfigurable platform. Our approach to face detection is based on a skin-segmentation algorithm followed by feature extraction and face verification. Our implementation is done on DMV, a reconfigurable platform with novel features targeting real time computer vision applications. DMV is a system on chip based on the combination of a high performance 32-bit SPARC-compliant processor with data-flow processing blocks.
Year
DOI
Venue
2007
10.1109/RSP.2007.19
IEEE International Workshop on Rapid System Prototyping
Keywords
Field
DocType
computer vision,digital signal processing chips,embedded systems,face recognition,feature extraction,image segmentation,reconfigurable architectures,system-on-chip,DMV architecture,data-flow processing block,face verification,feature extraction,high-performance 32-bit SPARC-compliant processor,real-time computer vision application,reconfigurable embedded real-time face detection system design,skin-segmentation algorithm,system-on-chip
Facial recognition system,System on a chip,Machine vision,Computer science,Image processing,Field-programmable gate array,Image segmentation,Feature extraction,Real-time computing,Face detection,Computer hardware,Embedded system
Conference
ISSN
ISBN
Citations 
1074-6005
0-7695-2834-1
4
PageRank 
References 
Authors
0.64
5
3
Name
Order
Citations
PageRank
V. Mariatos171.82
K. D. Adaos2152.88
G. P. Alexiou393.18