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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/75990
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75990


    Title: Robust Orthogonal Particle Swarm Optimization for estimating the fundamental matrix
    Authors: Chan, Kai-Hsuan;Wu, Y.-L.;Tang, C.-Y.;Hor, Maw-Kae
    詹凱軒;何瑁鎧
    Contributors: 資科系
    Keywords: Accurate estimation;Fundamental matrix;Fundamental matrix estimation;Optimal solutions;Orthogonal array;Estimation;Image communication systems;Image processing;Visual communication;Particle swarm optimization (PSO)
    Date: 2011
    Issue Date: 2015-06-22 14:02:41 (UTC+8)
    Abstract: 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.
    Relation: 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
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/VCIP.2011.6115955
    DOI: 10.1109/VCIP.2011.6115955
    Appears in Collections:[資訊科學系] 會議論文

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