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Title of Journal: Machine Vision and Applications

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Abbravation: Machine Vision and Applications

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Springer Berlin Heidelberg

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DOI

10.1007/bf00812332

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1432-1769

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Algorithmic methodologies for FPGAbased vision

Authors: Yoong Kang Lim Lindsay Kleeman Tom Drummond
Publish Date: 2012/12/23
Volume: 24, Issue: 6, Pages: 1197-1211
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Abstract

This paper proposes a strategy for the design of computer vision on Field Programmable Gate Arrays FPGAs We show that there are certain advantages to the approach of designing an algorithm to specifically suit hardware rather than attempting to replicate the behavior of software implementations in hardware We justify this approach through the analysis of two case studies In the first case study we present FPGA implementations of two corner detectors We make a number of observations which point to the advantages of an FPGAtailored algorithm In the second case study we investigate the feasibility of this approach by designing a proofofconcept face detection algorithm that was designed specifically for an FPGA We show that this design allows for high detection speed on a lowcost FPGA device although the same algorithm would not be considered in software Finally we conclude that FPGAs offer special opportunities for specialized algorithms that are infeasible in software

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