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C++

/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2010-2011, Willow Garage, Inc.
* Copyright (c) 2012-, Open Perception, Inc.
*
* All rights reserved.
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* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
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* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of Willow Garage, Inc. nor the names of its
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* from this software without specific prior written permission.
*
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*/
#ifndef PCL_KEYPOINTS_AGAST_KEYPOINT_2D_IMPL_H_
#define PCL_KEYPOINTS_AGAST_KEYPOINT_2D_IMPL_H_
#include <pcl/common/io.h>
namespace pcl
{
template <typename PointInT, typename PointOutT, typename IntensityT> bool
AgastKeypoint2DBase<PointInT, PointOutT, IntensityT>::initCompute ()
{
if (!pcl::Keypoint<PointInT, PointOutT>::initCompute ())
{
PCL_ERROR ("[pcl::%s::initCompute] init failed.!\n", name_.c_str ());
return (false);
}
if (!input_->isOrganized ())
{
PCL_ERROR ("[pcl::%s::initCompute] %s doesn't support non organized clouds!\n", name_.c_str ());
return (false);
}
return (true);
}
template <typename PointInT, typename PointOutT> void
AgastKeypoint2D<PointInT, PointOutT>::detectKeypoints (PointCloudOut &output)
{
// image size
const std::size_t width = input_->width;
const std::size_t height = input_->height;
// destination for intensity data; will be forwarded to AGAST
std::vector<unsigned char> image_data (width*height);
for (std::size_t i = 0; i < image_data.size (); ++i)
image_data[i] = static_cast<unsigned char> (intensity_ ((*input_)[i]));
if (!detector_)
detector_.reset (new pcl::keypoints::agast::AgastDetector7_12s (width, height, threshold_, bmax_));
detector_->setMaxKeypoints (nr_max_keypoints_);
if (apply_non_max_suppression_)
{
pcl::PointCloud<pcl::PointUV> tmp_cloud;
detector_->detectKeypoints (image_data, tmp_cloud);
pcl::keypoints::internal::AgastApplyNonMaxSuppresion<PointOutT> anms (
image_data, tmp_cloud, detector_, output);
}
else
{
pcl::keypoints::internal::AgastDetector<PointOutT> dec (
image_data, detector_, output);
}
// we do not change the denseness
output.is_dense = true;
}
} // namespace pcl
#define AgastKeypoint2D(T,I) template class PCL_EXPORTS pcl::AgastKeypoint2D<T,I>;
#endif