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Comparative Evaluation of FPGA Implementation Alternatives for Real-Time Robust Ellipse Estimation based on RANSAC Algorithm
Theint Theint THU Jimpei HAMAMURA Rie SOEJIMA Yuichiro SHIBATA Kiyoshi OGURI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2017/07/01
Online ISSN: 1745-1337
Type of Manuscript: Special Section PAPER (Special Section on Design Methodologies for System on a Chip)
RANSAC, FPGA, Cramer's rule, Gauss-Jordan elimination,
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Field Programmable Gate Array (FPGA) based robust model fitting enjoys immense popularity in image processing because of its high efficiency. This paper focuses on the tradeoff analysis of real-time FPGA implementation of robust circle and ellipse estimations based on the random sample consensus (RANSAC) algorithm, which estimates parameters of a statistical model from a data set of feature points which contains outliers. In particular, this paper mainly highlights implementation alternatives for solvers of simultaneous equations and compares Gauss-Jordan elimination and Cramer's rule by changing matrix size and arithmetic processes. Experimental evaluation shows a Cramer's rule approach coupled with long integer arithmetic can reduce most hardware resources without unacceptable degradation of estimation accuracy compared to floating point versions.