Point Cloud Library (PCL)
1.15.1
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pcl
common
impl
gaussian.hpp
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/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2010-2011, Willow Garage, Inc.
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of the copyright holder(s) nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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* $Id$
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*
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*/
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#pragma once
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#include <pcl/common/gaussian.h>
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#include <cassert>
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namespace
pcl
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{
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template
<
typename
Po
int
T>
void
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GaussianKernel::convolveRows
(
const
pcl::PointCloud<PointT>
&input,
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std::function <
float
(
const
PointT& p)> field_accessor,
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const
Eigen::VectorXf&
kernel
,
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pcl::PointCloud<float>
&output)
const
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{
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assert(
kernel
.size () % 2 == 1);
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int
kernel_width =
kernel
.size () -1;
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int
radius =
kernel
.size () / 2.0;
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if
(output.
height
< input.
height
|| output.
width
< input.
width
)
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{
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output.
width
= input.
width
;
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output.
height
= input.
height
;
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output.
resize
(input.
height
* input.
width
);
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}
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int
i;
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for
(
int
j = 0; j < input.
height
; j++)
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{
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for
(i = 0 ; i < radius ; i++)
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output (i,j) = 0;
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for
( ; i < input.
width
- radius ; i++) {
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output (i,j) = 0;
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for
(
int
k = kernel_width, l = i - radius; k >= 0 ; k--, l++)
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output (i,j) += field_accessor (input (l,j)) *
kernel
[k];
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}
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for
( ; i < input.
width
; i++)
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output (i,j) = 0;
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}
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}
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template
<
typename
Po
int
T>
void
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GaussianKernel::convolveCols
(
const
pcl::PointCloud<PointT>
&input,
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std::function <
float
(
const
PointT& p)> field_accessor,
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const
Eigen::VectorXf&
kernel
,
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pcl::PointCloud<float>
&output)
const
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{
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assert(
kernel
.size () % 2 == 1);
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int
kernel_width =
kernel
.size () -1;
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int
radius =
kernel
.size () / 2.0;
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if
(output.
height
< input.
height
|| output.
width
< input.
width
)
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{
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output.
width
= input.
width
;
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output.
height
= input.
height
;
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output.
resize
(input.
height
* input.
width
);
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}
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int
j;
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for
(
int
i = 0; i < input.
width
; i++)
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{
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for
(j = 0 ; j < radius ; j++)
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output (i,j) = 0;
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for
( ; j < input.
height
- radius ; j++) {
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output (i,j) = 0;
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for
(
int
k = kernel_width, l = j - radius ; k >= 0 ; k--, l++)
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{
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output (i,j) += field_accessor (input (i,l)) *
kernel
[k];
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}
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}
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for
( ; j < input.
height
; j++)
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output (i,j) = 0;
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}
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}
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}
// namespace pcl
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pcl::GaussianKernel::convolveCols
void convolveCols(const pcl::PointCloud< float > &input, const Eigen::VectorXf &kernel, pcl::PointCloud< float > &output) const
Convolve a float image columns by a given kernel.
pcl::GaussianKernel::convolveRows
void convolveRows(const pcl::PointCloud< float > &input, const Eigen::VectorXf &kernel, pcl::PointCloud< float > &output) const
Convolve a float image rows by a given kernel.
pcl::PointCloud
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition
point_cloud.h:174
pcl::PointCloud::resize
void resize(std::size_t count)
Resizes the container to contain count elements.
Definition
point_cloud.h:463
pcl::PointCloud::width
std::uint32_t width
The point cloud width (if organized as an image-structure).
Definition
point_cloud.h:399
pcl::PointCloud::height
std::uint32_t height
The point cloud height (if organized as an image-structure).
Definition
point_cloud.h:401
pcl::kernel
Definition
kernel.h:46
pcl
Definition
convolution.h:46