mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-03 10:00:23 +08:00
Integration of CLAMS depth calibration #114
This commit is contained in:
78
corelib/src/clams/slam_calibrator.cpp
Normal file
78
corelib/src/clams/slam_calibrator.cpp
Normal file
@@ -0,0 +1,78 @@
|
||||
/*
|
||||
Copyright (c) 2013, Alex Teichman and Stephen Miller (Stanford University)
|
||||
All rights reserved.
|
||||
|
||||
Redistribution and use in source and binary forms, with or without
|
||||
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 copyright
|
||||
notice, this list of conditions and the following disclaimer in the
|
||||
documentation and/or other materials provided with the distribution.
|
||||
* Neither the name of the <organization> nor the
|
||||
names of its contributors may be used to endorse or promote products
|
||||
derived from this software without specific prior written permission.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
|
||||
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
|
||||
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
RTAB-Map integration: Mathieu Labbe
|
||||
*/
|
||||
|
||||
#include "rtabmap/core/clams/slam_calibrator.h"
|
||||
#include "rtabmap/core/clams/frame_projector.h"
|
||||
#include <rtabmap/utilite/ULogger.h>
|
||||
|
||||
using namespace std;
|
||||
using namespace Eigen;
|
||||
|
||||
namespace clams
|
||||
{
|
||||
|
||||
DiscreteDepthDistortionModel calibrate(
|
||||
const std::map<int, rtabmap::SensorData> & sequence,
|
||||
const std::map<int, rtabmap::Transform> & trajectory,
|
||||
const pcl::PointCloud<pcl::PointXYZ>::Ptr & map,
|
||||
double coneRadius,
|
||||
double coneStdevThresh)
|
||||
{
|
||||
DiscreteDepthDistortionModel model;
|
||||
|
||||
if(!sequence.empty())
|
||||
{
|
||||
const cv::Size & imageSize = sequence.begin()->second.cameraModels()[0].imageSize();
|
||||
model = DiscreteDepthDistortionModel(imageSize.width, imageSize.height);
|
||||
|
||||
// -- For all selected frames, accumulate training examples
|
||||
// in the distortion model.
|
||||
size_t counts;
|
||||
#pragma omp parallel for
|
||||
for(std::map<int, rtabmap::Transform>::const_iterator iter = trajectory.begin(); iter != trajectory.end(); ++iter)
|
||||
{
|
||||
size_t idx = iter->first;
|
||||
std::map<int, rtabmap::SensorData>::const_iterator ster = sequence.find(idx);
|
||||
if(ster!=sequence.end())
|
||||
{
|
||||
cv::Mat depthImage;
|
||||
ster->second.uncompressDataConst(0, &depthImage);
|
||||
|
||||
cv::Mat mapDepth;
|
||||
FrameProjector projector(ster->second.cameraModels()[0]);
|
||||
mapDepth = projector.estimateMapDepth(map, iter->second.inverse(), depthImage, coneRadius, coneStdevThresh);
|
||||
counts = model.accumulate(mapDepth, depthImage);
|
||||
}
|
||||
}
|
||||
UINFO("counts=%d", (int)counts);
|
||||
}
|
||||
return model;
|
||||
}
|
||||
|
||||
} // namespace clams
|
||||
Reference in New Issue
Block a user