saguar1

YANAI Lab.

電気通信大学 総合情報学科／大学院 総合情報学専攻 メディア情報学コース 柳井研究室
電気通信大学 > 情報工学科 > コンピュータ学講座 > 柳井研究室 > 研究紹介  

$BJ*BNG'<15;=Q$rMQ$$$?(B
$B%b%P%$%kJ*IJ4IM}%7%9%F%`(B

$BK>7n(B $B9(;K(B

2012$BG/(B 2$B7n(B 8$BF|(B




1 $BGX7J(B

$B6aG/!$%9%^!<%H%U%)%s$,Ia5Z$7B?$/$N?M$,MxMQ$9$k$h$&$K$J$C$?!%$^$?!$$=$l$K(B $BH<$$%9%^!<%H%U%)%s$N@-G=$bG/!98~>e$7$F$$$k!%$3$l$K$h$j$3$l$^$G$N=>Mh7?$N(B $B7HBSEEOC$G$OFq$7$+$C$?%+%a%i$r;H$C$?J*BNG'<1%"%W%j%1!<%7%g%s$N:n@.$,2DG=(B $B$K$J$C$?!%$?$H$($P(BGoogle$B$N(BGoggle$B%"%W%j$G$OM-L>$J%i%s%I%^!<%/$d3(2h$NG'<1(B $B$r9T$&$3$H$,=PMh$k!%$^$?!$?H$N2s$j$KB?$/$N$b$N$,0n$l$k$h$&$K$J$C$?8=Be$G(B $B$OF1$8>&IJ$r(B2$BEY9XF~$7$F$7$^$C$?$j!$$=$l$r$$$D$I$&$7$FGc$C$?$N$+!$;H$C$F(B $B$_$F$NI>2A$,$I$&$G$"$C$?$+$J$I$N>pJs$rK:$l$F$7$^$&$H$$$&LdBj$,H/@8$7$F$$(B $B$k!%$3$&$7$?LdBj$r2r7h$9$k$?$a$K!$=j;}IJ$r4IM}$9$k%5!<%S%9$,B8:_$7$F$$$k!%(B $B$?$H$($P3t<02qMh$N=j;}IJ4IM}%5!<%S%9$O%F%-%9%H$d%+%F%4%j$K$h$k8!:w!$%P!<%3!<%I$rFI$_ 2 $BL\E*(B $BK\O@J8$G$O%9%^!<%H%U%)%s$HFCDjJ*BNG'<15;=Q$rMxMQ$7$?%b%P%$%kJ*IJ4IM}%7%9%F%`$rDs0F$9$k!%$3$N%7%9%F%`$O%f!<%6$,=j;}IJ$r%9%^!<%H%U%)%s$N%+%a%i$G;#1F$7!$J*BNL>!&F|;~!&0LCV>pJs!&J*BN$K$D$$$F$N%3%a%s%H$J$I$N%F%-%9%H>pJs$rIU2C$7$FEPO?$9$k!%$=$N8e!$F1$8J*BN$r:FEY;#1F$9$k$H!$EPO?$5$l$?J*BN$H;#1FCf$NJ*BN$,F10l$G$"$k$+$rH=Dj$7!$F10l$G$"$l$PIU2C$7$?%F%-%9%H>pJs$r%j%"%k%?%$%`$GI=<($9$k$3$H$,=PMh$k$H$$$&%7%9%F%`$G$"$k!%$^$?!$%M%C%H%o!<%/$rDL$8$FB>$N%f!<%6$,EPO?$7$?J*BN$N>pJs$r6&M-$9$k$3$H$,=PMh$k!%%9%/%j!<%s%7%g%C%H$r?^(B1$B$K<($9!%=>Mh$NJ*IJ4IM}%5!<%S%9$KBP$7$F!$K\
  • $B%+%a%i$K
  • $B8!:w;~$K%F%-%9%HF~NO$,I,MW$J$$(B
  • $B%P!<%3!<%I$NL5$$=j;}IJ$bEPO?$9$k$3$H$,=PMh$k(B
    • $B$H$$$&MxE@$,$"$k!%(B

    $B?^(B 1: $BDs0F%7%9%F%`(B
    \includegraphics[width=0.3\textwidth]{img/preview_1.eps}

    3 $BDs0F%7%9%F%`>\:Y(B

    $BDs0F%7%9%F%`$NA4BN?^$r?^(B2$B$K<($7$?!%%7%9%F%`$N$*$*$^$+$JN.$l$O!$$^$:2hA|IA2h%9%l%C%I$+$i%+%a%i$+$ie$GEPO?2hLL$rI=<($9$k!%G'<1%9%l%C%I$K$D$$$F$O!$O$G$O!$3F=hM}$K$D$$$F>\:Y$r5-=R$9$k!%(B
    $B?^(B 2: $BDs0F%7%9%F%`A4BN$NN.$l(B
    \includegraphics[width=0.4\textwidth]{img/allchart.eps}

    3.1 $BFCDjJ*BNG'<1(B

    $B?^(B 3: $BFCD'E@$NJ*BN$X$NEjI<(B
    \includegraphics[width=0.3\textwidth]{img/ninsiki.eps}

    3.1.1 $B6I=jFCD'NL(B

    $B6I=jFCD'$H$O!$2hA|$NFCD'E*$JE@$KCmL\$7!$CmL\E@<~JU$N>pJs$rFCD'%Y%/%H%k$H$7$FI=8=$7$?$b$N$G$"$k!%M-L>$J$b$N$H$7$F!$(BSIFT[1]$B$d!$(BSIFT$B$r9bB.2=$7$?(BSURF[2]$B$J$I$,$"$k!%$7$+$7!$$3$l$i$NFCD'NL$r%O!<%I%&%'%";q8;$NIO$7$$%9%^!<%H%U%)%s>e$G7W;;$9$k$N$O;~4V$,$+$+$k!%$=$3$G!$$h$jF0:n$NAa$$FCD'NL$H$7$F(BORB[3]$B$rMQ$$$?!%(BORB$B$H$O(BFAST[4]$B$K$h$kFCD'E@8!=P$H(BBRIEF$B5-=R;R(B[5]$B$r$b$H$KDs0F$5$l$?(B256bit$B$N%P%$%J%jFCD'NL$G$"$k!%(BBRIEF$B$NITJQ@-$r2~A1$7$F$$$k!%9bB.$G>CHq%a%b%j$,>/$J$/!$(BSURF$B$N(B10$BG\0J>e$NB.EY$G$N7W;;$r2DG=$K$7$F$$$k!%(B

    3.1.2 $BK\

    $BK\8&5f$G$O!$FCD'E@$N8!=P$K(BORB$B$rMQ$$$F6u4V%T%i%_%C%I$+$i8!=P$9$kJ}K!$H0lDj4V3V$4$H$KFCD'E@$r$H$k(BDENSE$B$rMQ$$$?!%(BDENSE$B$r2C$($k$3$H$G(BORB$B$K$h$kFCD'E@8!=P$GFCD'E@$N=P$K$/$$J*IJ$bEPO?$G$-$k$h$&$K$J$k$,!$GX7J$NFCD'$N1F6A$r]J*BN0J30$+$i$b8!=P$5$l$F$7$^$$$=$&$J>l9g$G$b!$BP>]J*BN$+$i$N$_FCD'E@$rCj=P$9$k$3$H$,=PMh$k!%(B


    3.1.3 $BJ#?t%U%l!<%`$NMxMQ(B

    $B%U%l!<%`2hA|$+$iF@$i$l$kFCD'E@$r;H$&$N$G$O$J$/!$(B2$B%U%l!<(B

    3.2 $BJ*IJ4IM}(B

    $BJ*IJEPO?F|!&J*IJ;#1F>l=j$K$D$$$F$O!$%7%9%F%`B&$G<+F0$GF~NO$9$k!%0LCV>pJs$O(BAndroid$B$N(BGPS$B$+4pCO6I>pJs$K$h$k0LCV>pJs$+$i0^EY7PEY$r$r 3.2.1 $B%f!<%64V$G$NJ*IJ>pJs6&M-(B $B<+J,$,J]B8$7$?J*IJ>pJs$r5-=R$7$?%U%!%$%k$r%5!<%P$KAw?.$7$F(BAndroid$B$N%9%H%l!<%8$H%5!<%P$N%U%!%$%k$rF14|$5$;$k!%%5!<%P$H(BAndroid$B4V$N%U%!%$%k$N$d$j$H$j$K$D$$$F$O!$(BHTTP$BDL?.$N(BPOST$B$H(BGET$B$G9T$&!%(B

    4 $BI>2A(B

    $B;}$AJ*4IM}%5!<%S%9$KFCDjJ*BNG'<1$rMQ$$$?$3$H$K$h$kMxJX@-$,8~>e$7$?$+$rD4(B $B$Y$k$?$a$K!$I>2A2A]$H$7$FDI2C$7$?!%(B
    • $BG/7n(B
    • $BEPO?
    • $B0LCV>pJs(B
    • $BJ*IJL>(B
    • $BJ*IJ$KBP$9$k%3%a%s%H!&>pJs$J$I<+M35-F~Ms(B
    $B$+$i9J$j9~$_8!:w$r9T$&$3$H$,=PMh$k!%(B

    4.1 $BI>2AFbMF(B

    $B$"$i$+$8$a(B30$BJ*IJ$r%F%9%H%G!<%?$H$7$FEPO?$7$?!%$5$i$KDI2C$G3F<+(B10$BJ*IJ$rDI2C$7$F$b$i$$!$7W(B40$BJ*IJ$N>uBV$GI>2A$r9T$C$?!%I>2AFbMF$O!$(B5$B?M$K0J2<$N9`L\$K$D$$$FI>2A$7$F$b$i$C$?!%J*IJG'<1$H%Y!<%9%i%$%s$H$G!$(B
    • $B8!:w$K$+$+$k;~4V(B
    • $B;H$$$d$9$5$N(B5$BCJ3,I>2A(B
    $B$rHf3S$9$k!%(B

    4.2 $BI>2A7k2L(B

    $B8!:w$K$+$+$k;~4V$NJ?6Q$O!$G'<1$rMQ$$$?>l9g$K(B13.6$BIC!$%Y!<%9%i%$%s$G(B10.6$BIC$H$J$j%Y!<%9%i%$%s$N$[$&$,$d$dAa$$7k2L$H$J$C$?!%;H$$$d$9$5$N(B5$BCJ3,I>2A$G$OG'<1$rMQ$$$?>l9g$K(B3.4$B!$%Y!<%9%i%$%s$G(B3.2$B$H$J$jG'<1$N$[$&$,$d$dNI$$7k2L$H$J$C$?!%(B

    4.3 $BG'<1@:EY$N7WB,(B

    $B2A$KMQ$$$?%F%9%H%G!<%?(B30$BJ*IJ$,EPO?$5$l$F$$$k>uBV$G(B5$BJ*IJ$rDI2C$7$?!%$=$N(B5$BJ*IJ$K$D$$$FG'<1$r(B50$B%U%l!<%`9T$$!$@5$7$$G'<17k2L$,F@$i$l$?3d9g$rD4$Y$?!%(B5$BJ*IJ$N2hA|$r?^(B4$B$K<($9!%(B
    $B?^(B 4: $BEPO?$7$?(B5$BJ*IJ(B
    \includegraphics[width=0.3\textwidth]{img/5list.eps}
    $BFCD'E@$NEjI<$K$*$$$F(B1$B0L$G$O$J$+$C$?$,(B2$B0L!$(B3$B0L0JFb$K@5$7$$7k2L$,=P$k>l9g$K$D$$$F$bD4$Y$?!%(B
    $B?^(B 5: $BG'<1$K@.8y$7$?3d9g(B(3$B0L$^$G9MN8$7$?>l9g(B)
    \includegraphics[width=0.3\textwidth]{img/graph2.eps}
    $B7k2L$r?^(B5$B$K<($7$?!#G'<1$7$d$9$$J*IJ$H$^$C$?$/G'<1$G$-$J$$J*IJ$H$,$"$C$?!%%m%4$d3($J$I$GFCD'E*$JItJ,$,B?$$$b$N$O!$FCD'E@$N8!=P$,$7$d$9$/G'<1$N@:EY$bNI$+$C$?$H9M$($i$l$k!%0lJ}!$7HBSEEOC$O!$?^(B4$B$K$"$k$h$&$K!$?'$,C10l$GFCD'E*$JItJ,$,>/$J$/!$8wBt$r;}$D$?$a8w$N1F6A$r 5 $B9M;!(B

    5.1 $BI>2A

    $BI>2A7k2L$OG'<1$rMQ$$$k$h$j$b%Y!<%9%i%$%s$N$[$&$,Aa$/8!:w=PMh$?$H$$$&7k2L$K$J$C$?!%(B $BFCDjJ*BNG'<1$,CY$/$J$C$F$7$^$C$?860x$O!$FCDjJ*BNG'<1$K$h$C$FG'<1$7$K$/$$J*IJ$,$"$j!$$=$l$i$r8!:w$9$k>l9g$K;~4V$,$+$+$C$F$7$^$$J?6Q$r2<$2$F$$$k$3$H$,$"$2$i$l$k!%G'<1$7$K$/$$J*IJ$,=P$F$7$^$&$N$O!$FCD'E@$N$H$j$K$/$$J*IJ$G$"$C$?$3$H$d!$GX7J$N1F6A$r/$J$+$C$?$?$a!$%Y!<%9%i%$%s$N $B8!:w$7$d$9$5$N(B5$BCJ3,I>2A$K$D$$$F$O!$G'<1$rMQ$$$k$[$&$,NI$$$H$$$&7k2L$H$J$C$?!%%j%9%H$+$iA*$V>l9g$d%F%-%9%H$rF~NO$9$k$h$j$b%+%a%i$G;#$k$H$$$&F0:n$NJ}$,3Z$G$"$k!$$5$i$KJ*IJ?t$,A}$($F$-$?$H$-$K%j%9%H$+$iA*$s$GC5$9$N$OFq$7$/$J$k$@$m$&$J$I$N0U8+$,$"$C$?!%(B

    6 $B$*$o$j$K(B

    $BK\8&5f$G$O!$FCDjJ*BNG'<1$rMQ$$$?J*IJ4IM}%5!<%S%9$r:n@.$7$?!%$^$?!$%O!<%I%&%'%";q8;$NIO$7$$%9%^!<%H%U%)%s$G$b9bB.$JFCDjJ*BNG'<1$,2DG=$G$"$k$3$H$r<($7$?!%I>2A $B:#8e$N2]Bj$H$7$F$O!$J*IJ?t$r$5$i$KA}$d$7$?>l9g$N@-G=I>2A$r$9$k$3$H$G$"$k!%J*IJ?t$rA}$d$9$3$H$K$h$C$F%Y!<%9%i%$%s%7%9%F%`$N8!:w;~4V$OA}2C$9$k$H9M$($i$l$k$,!$FCDjJ*BNG'<1$N@:EY$bDc2<$7$F$7$^$&$@$m$&!%Bg5,LO$J%G!<%?%Y!<%9$KE,1~$7$?>l9g$G$bF1$8$h$&$JI>2A7k2L$H$J$k$+D4$Y$kI,MW$,$"$k!%$^$?!$0lItJ*IJ$K$D$$$FG'<1$7$K$/$$$b$N$,$"$C$?$N$G!$G'<1@:EY$N8~>e$,I,MW$G$"$k!%$=$N$?$a$K$O!$B.EY$O$d$dMn$A$k$,@:EY$N$h$$FCD'$NF3F~$d!$?'>pJs$N9MN8!$(BOCR$B$K$h$k%F%-%9%H>pJs$NMxMQ$J$I$,9M$($i$l$k!%(B

    $BJ88%L\O?(B

    1
    D. Lowe.
    Distinctive image features from scale-invariant keypoints.
    International Journal of Computer Vision, pp. 91-110, 2004.

    2
    H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool.
    SURF: Speeded Up Robust Features.
    In Computer Vision and Image Understanding, pp. 346-359, 2008.

    3
    E. Rublee, V. Rabaud, K. Konolige, and G. Bradski.
    ORB: an effficient alternative to SIFT or SURF.
    In Proc. of IEEE International Conference on Computer Vision, 2011.

    4
    E. Rosten and T. Drummond.
    Machine learning for high-speed corner detection.
    Proc.of European Conference on Computer Vision, pp. 430-443, 2006.

    5
    M. Calonder, V. Lepetit, C. Strecha, and P. Fua.
    Brief: Binary robust independent elementary features.
    Proc.of European Conference on Computer Vision, pp. 778-792, 2010.