GainCompensator.h

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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 Universite de Sherbrooke 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
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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*/
 
#ifndef CORELIB_SRC_GAINCOMPENSATOR_H_
#define CORELIB_SRC_GAINCOMPENSATOR_H_
 
#include "rtabmap/core/rtabmap_core_export.h" // DLL export/import defines
 
#include <pcl/point_cloud.h>
#include <pcl/point_types.h>
#include <pcl/pcl_base.h>
#include <opencv2/opencv.hpp>
#include <rtabmap/core/Link.h>
 
namespace rtabmap {
 
class RTABMAP_CORE_EXPORT GainCompensator {
public:
        GainCompensator(double maxCorrespondenceDistance = 0.02, double minOverlap = 0.0, double alpha = 0.01, double beta = 10);
        virtual ~GainCompensator();
 
        void feed(
                        const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloudA, // should not contain NaNs
                        const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloudB, // should not contain NaNs
                        const Transform & transformB);
        void feed(
                        const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloudA,
                        const pcl::IndicesPtr & indicesA,
                        const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloudB,
                        const pcl::IndicesPtr & indicesB,
                        const Transform & transformB);
        void feed(
                        const std::map<int, pcl::PointCloud<pcl::PointXYZRGB>::Ptr> & clouds, // should not contain NaNs
                        const std::multimap<int, Link> & links);
        void feed(
                        const std::map<int, pcl::PointCloud<pcl::PointXYZRGB>::Ptr> & clouds,
                        const std::map<int, pcl::IndicesPtr> & indices,
                        const std::multimap<int, Link> & links);
        void feed(
                        const std::map<int, pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr> & clouds,
                        const std::map<int, pcl::IndicesPtr> & indices,
                        const std::multimap<int, Link> & links);
        void feed(
                        const std::map<int, std::pair<pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr, pcl::IndicesPtr> > & clouds,
                        const std::multimap<int, Link> & links);
 
        void apply(
                        int id,
                        pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
                        bool rgb = true) const;
        void apply(
                        int id,
                        pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
                        const pcl::IndicesPtr & indices,
                        bool rgb = true) const;
        void apply(
                        int id,
                        pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr & cloud,
                        const pcl::IndicesPtr & indices,
                        bool rgb = true) const;
        void apply(
                        int id,
                        cv::Mat & image,
                        bool rgb = true) const;
 
        double getGain(int id, double * r=0, double * g=0, double * b=0) const;
        int getIndex(int id) const;
 
private:
        cv::Mat_<double> gains_;
        std::map<int, int> idToIndex_;
        double maxCorrespondenceDistance_;
        double minOverlap_;
        double alpha_;
        double beta_;
 
};
 
} /* namespace rtabmap */
 
#endif /* CORELIB_SRC_GAINCOMPENSATOR_H_ */