An FPGA-based hardware accelerator for image processing
Selected papers from the Oxford 1993 international workshop on field programmable logic and applications on More FPGAs
Object Recognition by Flexible Template Matching using Genetic Algorithms
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Scalable Re-Configurable Processor
ACAC '00 Proceedings of the 5th Australasian Computer Architecture Conference
FCCM '95 Proceedings of the IEEE Symposium on FPGA's for Custom Computing Machines
A processor array for computing wavelet energies
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
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There has been increased interest in the use of sensing devices in the detection and classification of subsurface objects, particularly for the purpose of eradicating Unexploded Ordnance (UXO) from military sites. The Geophysical Template Matching System (GTMS) is a cluster-based framework for the storage and analysis of spatial data sets derived from scanning subsurface objects using geophysical sensing devices. Current approaches to the UXO detection and classification problem have met with limited success. The template matching approach employs libraries of templates extracted from known objects. Coarse grain parallel processing techniques are used to speed up the matching algorithms with fine grain parallelism also planned. The user interface is via the World Wide Web providing interaction, a graphical user interface and convenient access from remote locations.