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Flann
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968054a7
编写于
3月 28, 2011
作者:
M
Marius Muja
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968054a7
...
...
@@ -16,7 +16,6 @@ Manual\\[1cm]}
\author
{
Marius Muja, mariusm@cs.ubc.ca
\\
David Lowe, lowe@cs.ubc.ca
}
\date
{
November 26, 2009
}
\begin{document}
...
...
@@ -294,7 +293,8 @@ Constructs a nearest neighbor search index for a given dataset.
Index(const Matrix<ElementType>
&
features, const IndexParams
&
params);
\end{Verbatim}
\begin{description}
\item
[features]
Matrix containing the features(points) to index. The size of the matrix is
$
num
\_
features
\times
dimensionality
$
.
\item
[features]
Matrix containing the features(points) that should be indexed, stored in a row-major order (one point
of each row of the matrix). The size of the matrix is
$
num
\_
features
\times
dimensionality
$
.
\item
[params]
Structure containing the index parameters. The type of index that will be constructed depends on the type
of this parameter. The possible parameter types are:
...
...
@@ -564,7 +564,7 @@ expected by this function are as follows:
\begin{description}
\item
[dataset, rows and cols]
- are used to specify the input dataset of
points: dataset is a pointer to a
$
\rm
{
rows
}
\times
\rm
{
cols
}$
matrix
stored in row-major order
.
stored in row-major order
(one feature on each row)
\item
[speedup] - is used to return the approximate speedup over linear
search achieved when using the automatic index and parameter configuration
(see section
\ref
{
sec:flann
_
build
_
index
}
)
...
...
@@ -824,7 +824,8 @@ following meaning:
\begin{description}
\item
[
\texttt
{
dataset
}
] is a
$
d
\times
n
$
matrix containing
$
n
$
$
d
$
-dimensional points
$
d
$
-dimensional points, stored in a column-major order (one feature on
each column)
\item
[
\texttt
{
build
\_
params
}
] - is a MATLAB structure containing the
parameters passed to the function.
...
...
@@ -1126,7 +1127,8 @@ class containg the following methods:
This method builds and internally stores an index to be used for future
nearest neighbor matchings. It erases any previously stored index, so in order
to work with multiple indexes, multiple instances of the FLANN class must be
used. The
\texttt
{
dataset
}
argument must be a
2
D numpy array or a matrix. The
used. The
\texttt
{
dataset
}
argument must be a
2
D numpy array or a matrix, stored in a
row
-
major order
(
a feature on each row of the matrix
)
. The
rest of the arguments that can be passed to the method are the same as
those used in the
\texttt
{
build
\_
params
}
structure from
section
\ref
{
sec:flann
_
build
_
index
}
. Similar to the MATLAB version, the index
...
...
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