CameraModel.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
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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*/

#ifndef CAMERAMODEL_H_
#define CAMERAMODEL_H_

#include <opencv2/opencv.hpp>

#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include "rtabmap/core/Transform.h"

namespace rtabmap {

class RTABMAP_EXP CameraModel
{
public:
        CameraModel();
        // K is the camera intrinsic 3x3 CV_64FC1
        // D is the distortion coefficients 1x5 CV_64FC1
        // R is the rectification matrix 3x3 CV_64FC1 (computed from stereo or Identity)
        // P is the projection matrix 3x4 CV_64FC1 (computed from stereo or equal to [K [0 0 1]'])
        CameraModel(
                        const std::string & name,
                        const cv::Size & imageSize,
                        const cv::Mat & K,
                        const cv::Mat & D,
                        const cv::Mat & R,
                        const cv::Mat & P,
                        const Transform & localTransform = Transform::getIdentity());

        // minimal
        CameraModel(
                        double fx,
                        double fy,
                        double cx,
                        double cy,
                        const Transform & localTransform = Transform::getIdentity(),
                        double Tx = 0.0f,
                        const cv::Size & imageSize = cv::Size(0,0));
        // minimal to be saved
        CameraModel(
                        const std::string & name,
                        double fx,
                        double fy,
                        double cx,
                        double cy,
                        const Transform & localTransform = Transform::getIdentity(),
                        double Tx = 0.0f,
                        const cv::Size & imageSize = cv::Size(0,0));

        virtual ~CameraModel() {}

        void initRectificationMap();

        bool isValidForProjection() const {return fx()>0.0 && fy()>0.0;}
        bool isValidForRectification() const
        {
                return imageSize_.width>0 &&
                           imageSize_.height>0 &&
                           !K_.empty() &&
                           !D_.empty() &&
                           !R_.empty() &&
                           !P_.empty();
        }

        void setName(const std::string & name) {name_=name;}
        const std::string & name() const {return name_;}

        double fx() const {return P_.empty()?K_.empty()?0.0:K_.at<double>(0,0):P_.at<double>(0,0);}
        double fy() const {return P_.empty()?K_.empty()?0.0:K_.at<double>(1,1):P_.at<double>(1,1);}
        double cx() const {return P_.empty()?K_.empty()?0.0:K_.at<double>(0,2):P_.at<double>(0,2);}
        double cy() const {return P_.empty()?K_.empty()?0.0:K_.at<double>(1,2):P_.at<double>(1,2);}
        double Tx() const {return P_.empty()?0.0:P_.at<double>(0,3);}

        cv::Mat K_raw() const {return K_;} //intrinsic camera matrix (before rectification)
        cv::Mat D_raw() const {return D_;} //intrinsic distorsion matrix (before rectification)
        cv::Mat K() const {return !P_.empty()?P_.colRange(0,3):K_;} // if P exists, return rectified version
        cv::Mat D() const {return P_.empty()&&!D_.empty()?D_:cv::Mat::zeros(1,5,CV_64FC1);} // if P exists, return rectified version
        cv::Mat R() const {return R_;} //rectification matrix
        cv::Mat P() const {return P_;} //projection matrix

        void setLocalTransform(const Transform & transform) {localTransform_ = transform;}
        const Transform & localTransform() const {return localTransform_;}

        void setImageSize(const cv::Size & size) {imageSize_ = size;}
        const cv::Size & imageSize() const {return imageSize_;}
        int imageWidth() const {return imageSize_.width;}
        int imageHeight() const {return imageSize_.height;}

        bool load(const std::string & directory, const std::string & cameraName);
        bool save(const std::string & directory) const;

        CameraModel scaled(double scale) const;

        double horizontalFOV() const; // in degrees
        double verticalFOV() const;   // in degrees

        // For depth images, your should use cv::INTER_NEAREST
        cv::Mat rectifyImage(const cv::Mat & raw, int interpolation = cv::INTER_LINEAR) const;
        cv::Mat rectifyDepth(const cv::Mat & raw) const;

private:
        std::string name_;
        cv::Size imageSize_;
        cv::Mat K_;
        cv::Mat D_;
        cv::Mat R_;
        cv::Mat P_;
        cv::Mat mapX_;
        cv::Mat mapY_;
        Transform localTransform_;
};

} /* namespace rtabmap */
#endif /* CAMERAMODEL_H_ */