IEICE TRANSACTIONS on Fundamentals
Comparative Evaluation of FPGA Implementation Alternatives for Real-Time Robust Ellipse Estimation based on RANSAC Algorithm
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.7 pp.1409-1417
- Publication Date
- 2017/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1409
- Type of Manuscript
- Special Section PAPER (Special Section on Design Methodologies for System on a Chip)
- Category
Authors
Theint Theint THU
Nagasaki University
Jimpei HAMAMURA
Nagasaki University
Rie SOEJIMA
Nagasaki University
Yuichiro SHIBATA
Nagasaki University
Kiyoshi OGURI
Nagasaki University
Keyword
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Theint Theint THU, Jimpei HAMAMURA, Rie SOEJIMA, Yuichiro SHIBATA, Kiyoshi OGURI, "Comparative Evaluation of FPGA Implementation Alternatives for Real-Time Robust Ellipse Estimation based on RANSAC Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 7, pp. 1409-1417, July 2017, doi: 10.1587/transfun.E100.A.1409.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1409/_p
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@ARTICLE{e100-a_7_1409,
author={Theint Theint THU, Jimpei HAMAMURA, Rie SOEJIMA, Yuichiro SHIBATA, Kiyoshi OGURI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Comparative Evaluation of FPGA Implementation Alternatives for Real-Time Robust Ellipse Estimation based on RANSAC Algorithm},
year={2017},
volume={E100-A},
number={7},
pages={1409-1417},
abstract={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.},
keywords={},
doi={10.1587/transfun.E100.A.1409},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - Comparative Evaluation of FPGA Implementation Alternatives for Real-Time Robust Ellipse Estimation based on RANSAC Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1409
EP - 1417
AU - Theint Theint THU
AU - Jimpei HAMAMURA
AU - Rie SOEJIMA
AU - Yuichiro SHIBATA
AU - Kiyoshi OGURI
PY - 2017
DO - 10.1587/transfun.E100.A.1409
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2017
AB - 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.
ER -
English
