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    题名: Robust Orthogonal Particle Swarm Optimization for estimating the fundamental matrix
    作者: Chan, Kai-Hsuan;Wu, Y.-L.;Tang, C.-Y.;Hor, Maw-Kae
    詹凱軒;何瑁鎧
    贡献者: 資科系
    关键词: Accurate estimation;Fundamental matrix;Fundamental matrix estimation;Optimal solutions;Orthogonal array;Estimation;Image communication systems;Image processing;Visual communication;Particle swarm optimization (PSO)
    日期: 2011
    上传时间: 2015-06-22 14:02:41 (UTC+8)
    摘要: In this paper, we present a novel method which uses PSO combined LMedS and orthogonal array to improve the estimation of fundamental matrix. We first translate the fundamental matrix estimation problem into the PSO problem. Then, we use the orthogonal array and LMedS to make the initial particles for more robust. Our experiments show that the proposed ROPSO produces more accurate estimation of fundamental matrices than the traditional LMedS, and the ROPSO has higher probability to find the optimal solution than the LMedS. © 2011 IEEE.
    關聯: 2011 IEEE Visual Communications and Image Processing, VCIP 2011, 2011, 論文編號 6115955, 2011 IEEE Visual Communications and Image Processing, VCIP 2011; Tainan; Taiwan; 6 November 2011 到 9 November 2011; 類別編號CFP1181P-USB; 代碼 88178
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/VCIP.2011.6115955
    DOI: 10.1109/VCIP.2011.6115955
    显示于类别:[資訊科學系] 會議論文

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