dc.contributor | 資科系 | |
dc.creator (作者) | Chan, Kai-Hsuan;Wu, Y.-L.;Tang, C.-Y.;Hor, Maw-Kae | |
dc.creator (作者) | 詹凱軒;何瑁鎧 | zh_TW |
dc.date (日期) | 2011 | |
dc.date.accessioned | 22-六月-2015 14:02:41 (UTC+8) | - |
dc.date.available | 22-六月-2015 14:02:41 (UTC+8) | - |
dc.date.issued (上傳時間) | 22-六月-2015 14:02:41 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75990 | - |
dc.description.abstract (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. | |
dc.format.extent | 176 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (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 | |
dc.subject (關鍵詞) | Accurate estimation; Fundamental matrix; Fundamental matrix estimation; Optimal solutions; Orthogonal array; Estimation; Image communication systems; Image processing; Visual communication; Particle swarm optimization (PSO) | |
dc.title (題名) | Robust Orthogonal Particle Swarm Optimization for estimating the fundamental matrix | |
dc.type (資料類型) | conference | en |
dc.identifier.doi (DOI) | 10.1109/VCIP.2011.6115955 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.1109/VCIP.2011.6115955 | |