Paper Info
Title
An FPGA-based accelerator for Fourier Descriptors computing for color object recognition using SVM.
Abstract
Fourier Descriptors can be used as feature vector components in various applications, such as real-time color object recognition or image retrieval. The full process is composed of the feature extraction followed by a classification step performed using Support Vector Machine (SVM). In order to accelerate the computation of Fourier Descriptors, a hardware implementation using FPGA technology is presented in this paper. We evaluated classification performance with respect to lighting variations and noise sensibility. Several experiments were carried out on three databases. Then an efficient architecture for FD computation on FPGAs is proposed and designed as accelerator. The WildCard is used to prototype this implementation. This design can have an operation speed up of approximately 10 compared to the standard software PC implementation.
Year
DOI
Venue
2007
10.1007/s11554-007-0065-6
J. Real-Time Image Processing
Keywords
Field
DocType
support vector machine,field programmable gate array,feature vector,image retrieval,real time,feature extraction,object recognition
Computer vision,Wildcard,Feature vector,Computer science,Support vector machine,Field-programmable gate array,Image retrieval,Feature extraction,Software,Artificial intelligence,Speedup
Journal
Volume
Issue
ISSN
2
4
1861-8219
Citations 
PageRank 
References 
7
0.76
18
Authors
6
Name
Order
Citations
PageRank
Fethi Smach1506.77
Johel Mitéran2475.52
Mohamed Atri315427.75
Julien Dubois414618.76
Mohamed Abid5243.76
Jean-Paul Gauthier612916.98