Entry Fularz:2012:FIR from lncs2012b.bib
Last update: Fri Mar 23 02:20:06 MDT 2018
Top |
Math |
A |
B |
C |
D |
E |
F |
G |
H |
I |
J |
K |
L |
M |
N |
O |
P |
Q |
R |
S |
T |
U |
V |
W |
X |
Y |
Z
BibTeX entry
@Article{Fularz:2012:FIR,
author = "Micha{\l} Fularz and Marek Kraft and Adam Schmidt and
Andrzej Kasi{\'n}ski",
title = "{FPGA} Implementation of the Robust Essential Matrix
Estimation with {RANSAC} and the $8$-Point and the
$5$-Point Method",
journal = j-LECT-NOTES-COMP-SCI,
volume = "7174",
pages = "60--71",
year = "2012",
CODEN = "LNCSD9",
DOI = "https://doi.org/10.1007/978-3-642-30397-5_6",
ISSN = "0302-9743 (print), 1611-3349 (electronic)",
ISSN-L = "0302-9743",
bibdate = "Wed Dec 19 15:25:38 MST 2012",
bibsource = "http://www.math.utah.edu/pub/tex/bib/lncs2012b.bib",
URL = "http://link.springer.com/chapter/10.1007/978-3-642-30397-5_6/",
acknowledgement = ack-nhfb,
book-DOI = "https://doi.org/10.1007/978-3-642-30397-5",
book-URL = "http://www.springerlink.com/content/978-3-642-30397-5",
fjournal = "Lecture Notes in Computer Science",
}
Related entries
- Estimation,
7155(0)398,
7155(0)511,
7179(0)160,
7186(0)193,
7191(0)9
- Implementation,
7127(0)256,
7127(0)269,
7134(0)179,
7136(0)171,
7136(0)240,
7140(0)21,
7142(0)103,
7144(0)196,
7152(0)50,
7159(0)60,
7161(0)256,
7169(0)111,
7174(0)36,
7186(0)78,
7187(0)104,
7199(0)215,
7199(0)239
- matrix,
7128(0)3,
7134(0)179,
7155(0)367,
7155(0)450,
7180(0)12,
7191(0)66,
7191(0)82,
7191(0)107,
7191(0)147
- Method,
7125(0)66,
7128(0)57,
7128(0)111,
7133(0)173,
7134(0)120,
7134(0)157,
7135(0)125,
7135(0)163,
7135(0)171,
7136(0)240,
7139(0)112,
7139(0)138,
7145(0)205,
7151(0)1,
7155(0)345,
7156(0)355,
7156(0)365,
7161(0)98,
7161(0)162,
7162(0)68,
7174(0)158,
7179(0)212,
7181(0)17,
7182(0)83,
7182(0)122,
7182(0)132,
7182(0)144,
7185(0)1,
7185(0)33,
7188(0)153,
7191(0)91,
7191(0)99,
7197(0)40,
7197(0)99,
7197(0)140,
7199(0)239
- point,
7125(0)189,
7143(0)58,
7145(0)139,
7157(0)52,
7162(0)42
- Robust,
7128(0)30,
7128(0)86,
7129(0)197,
7133(0)152,
7179(0)225,
7188(0)4,
7188(0)177