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Deep-pipelined FPGA implementation of ellipse estimation for eye tracking

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Title: Deep-pipelined FPGA implementation of ellipse estimation for eye tracking
Authors: Dohi, Keisuke / Hatanaka, Yuma / Negi, Kazuhiro / Shibata, Yuichiro / Oguri, Kiyoshi
Issue Date: 2012
Publisher: IEEE
Citation: Field Programmable Logic and Applications (FPL), 2012 22nd International Conference on, pp.458-463; 2012
Abstract: This paper presents a deep-pipelined FPGA implementation of real-time ellipse estimation for eye tracking. The system is constructed by the Starburst algorithm on a stream-oriented architecture and the RANSAC algorithm without any external memories. In particular, the paper presents comparative results between three different hypothesis generators for the RANSAC algorithm based on Cramer's rule, Gauss-Jordan elimination and LU decomposition. Comparison criteria include resource usage, throughput and energy consumption. The result shows that the three implementations have different characteristics and the optimal algorithm needs to be chosen depending on the amount of resources on FPGAs and required performance.
Description: 22nd International Conference on Field Programmable Logic and Applications, FPL 2012;Oslo;29 August 2012through31 August 2012
Keywords: External memory / Eye-tracking / FPGA implementations / Gauss-Jordan elimination / Lu decomposition / Optimal algorithm / RANSAC algorithm / Resource usage / Starbursts / Energy utilization / Field programmable gate arrays (FPGA) / Algorithms
URI: http://hdl.handle.net/10069/31155
DOI: 10.1109/FPL.2012.6339144
Rights: © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: Conference Paper
Text Version: author
Appears in Collections:Conference Paper

Citable URI : http://hdl.handle.net/10069/31155

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