Method of sample consensus based on Skinner operant conditioning - Details

Author：

Indexed by：

EI Scopus PKU CSCD

Abstract：

A　method　of　sample　consensus　based　on　Skinner　operant　conditioning　(Skinner-Ransac)　is　proposed　for　the　problem　of　fundamental　matrix　estimation.　In　this　method,　every　sample　is　given　with　the　weight,　which　is　changed　according　to　the　feedback　of　every　sampling　results.　For　the　problem　of　lacking　prior　knowledge,　three　iteration　termination　selections　are　proposed.　Taking　a　set　of　simulated　data　and　a　set　of　real　images　as　the　experimental　subject,　four　existing　methods　are　taken　to　compare　with　Skinner-Ransac.　The　results　show　that　the　performance　of　Skinner-Ransac　is　better　than　the　other　methods.　©,　2014,　Northeast　University.　All　right　reserved.

Keyword：

Control engineering Computer simulation Iterative methods

Author Community：

[ 1 ] [Wei, Ruo-Yan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Ruan, Xiao-Gang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Yu, Nai-Gong]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Huang, Jing]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Huang, Jing]The Pilot College, Beijing University of Technology, Beijing; 101101, China
[ 6 ] [Zhu, Xiao-Qing]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
[ 7 ] [Zhu, Xiao-Qing]Center for Intelligent Machine, McGill University, Montreal; H3A2K6, Canada
[ 8 ] [Xiao, Yao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China