640 lines
22 KiB
Text
640 lines
22 KiB
Text
/*
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* David Scanner implementation
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*
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* Copyright (C) Vladislav Perelman
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*
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* Released under the GPL version 3.
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*
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*/
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/*
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* david_scanner.cc
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* Program takes as an input path to the config file which needs to
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* have all the necessary information for the program.
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* Config file has to have (each on a new line, 9 lines in total):
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*
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* Path to the directory where frames from the video are stored
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* The first frame that has to be used
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* The last frame that has to be used
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* The empty frame without the laser
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* Path to the file with intrinsics of the camera
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* Path to the rotation of the left board
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* Path to the rotation of the right board
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* Path to the translation of the left board
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* Path to the translation of the right board
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*
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* Program computes the 3 point cloud of the object and stores it in the
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* file scan000.3d, each point in the cloud is represented by the line
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* in the file:
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* x y z r g b
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*
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*
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* Created on: Oct 4, 2010
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* Author: Vladislav Perelman v.perelman@jacobs-university.de
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*/
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#include <iostream>
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#include <string>
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#include <fstream>
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#include <cv.h>
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#include <highgui.h>
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#include <cvaux.h>
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#include <cxcore.h>
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#include <math.h>
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#include <vector>
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#define PI 3.14159265
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using namespace std;
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int main(int argc, char** argv){
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if (argc!=2){
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cout<<"USAGE: david_scanner config_file\nConfig file should contain path_to_frames first_valid_frame last_valid_frame empty_frame path_to_intrinsics"
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"path_to_rotation_left path_to_rotation_right path_to_translation_left and path_to_translation_right each on a new line!"<<endl;
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return -1;
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}
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//******Reading Input********
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ifstream indata;
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indata.open(argv[1]);
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if (!indata){
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cout<<"Config file could not be opened"<<endl;
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return -1;
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}
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string line;
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int numlines=0;
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while( getline(indata, line) ) numlines++;
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if (numlines != 9) {
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cout<<"Invalid number of lines in a config file!\nConfig file should contain path_to_frames first_valid_frame last_valid_frame empty_frame path_to_intrinsics"
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"path_to_rotation_left path_to_rotation_right path_to_translation_left and path_to_translation_right each on a new line!";
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return -1;
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}
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indata.clear();
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indata.seekg(0);
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char path[200];
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indata.getline(path,200);
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char first_c[10];
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char last_c[10];
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char empty_c[10];
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indata.getline(first_c,10);
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indata.getline(last_c,10);
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indata.getline(empty_c,10);
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int first = atoi(first_c);
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int last = atoi(last_c);
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int empty = atoi(empty_c);
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char intrinsics_path[200];
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char rot_left[200];
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char rot_right[200];
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char tran_left[200];
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char tran_right[200];
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indata.getline(intrinsics_path,200);
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indata.getline(rot_left,200);
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indata.getline(rot_right,200);
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indata.getline(tran_left,200);
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indata.getline(tran_right,200);
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//*********done************
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//loading an empty frame
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IplImage* image_empty;
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IplImage* image;
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char empty_name[100];
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sprintf(empty_name,"%s/%08d.ppm",path,empty);
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if ((image_empty=cvLoadImage(empty_name,1))==NULL){
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cout<<"Cannot load empty frame...check input name"<<endl;
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return -1;
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}
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//*******LOADING CAMERA PARAMETERS + CREATING MATRICES FOR FUTURE USE*********
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CvMat *intrinsic = cvCreateMat(3,3,CV_32F);
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if ((intrinsic = (CvMat*)cvLoad( intrinsics_path ))==NULL){
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cout<<"Cannot load intrinsic parameters...check input path and file name"<<endl;
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return -1;
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}
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//loading R1
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CvMat* rotation_left = cvCreateMat(3,1,CV_32F);
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if ((rotation_left = (CvMat*)cvLoad( rot_left ))==NULL){
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cout<<"Cannot load rotation of the left board...check input"<<endl;
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return -1;
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}
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//loading T1
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CvMat* translation_left = cvCreateMat(3,1,CV_32F);
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if ((translation_left= (CvMat*)cvLoad( tran_left ))==NULL){
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cout<<"Cannot load translation of the left board...check input"<<endl;
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return -1;
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}
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CvMat* rotation_matrix_left = cvCreateMat( 3, 3, CV_32F );
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cvRodrigues2(rotation_left, rotation_matrix_left);
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//loading R2
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CvMat* rotation_right = cvCreateMat(3,1,CV_32F);
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if ((rotation_right = (CvMat*)cvLoad( rot_right ))==NULL){
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cout<<"Cannot load rotation of the right board...check input"<<endl;
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return -1;
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}
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//loading T2
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CvMat* translation_right = cvCreateMat(3,1,CV_32F);
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if((translation_right=(CvMat*)cvLoad( tran_right ))==NULL){
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cout<<"Cannot load translation of the right board...check input"<<endl;
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return -1;
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}
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CvMat* rotation_matrix_right = cvCreateMat( 3, 3, CV_32F );
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cvRodrigues2(rotation_right, rotation_matrix_right);
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//creating [R1|T1]
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CvMat* r1t1 = cvCreateMat( 3, 4, CV_32F );
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for (int i = 0; i < 3; i++){
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CV_MAT_ELEM( *r1t1, float, i, 0) = CV_MAT_ELEM( *rotation_matrix_left, float, i, 0);
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CV_MAT_ELEM( *r1t1, float, i, 1) = CV_MAT_ELEM( *rotation_matrix_left, float, i, 1);
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CV_MAT_ELEM( *r1t1, float, i, 2) = CV_MAT_ELEM( *rotation_matrix_left, float, i, 2);
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CV_MAT_ELEM( *r1t1, float, i, 3) = CV_MAT_ELEM( *translation_left, float, i, 0);
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}
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//creating [R2|T2]
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CvMat* r2t2 = cvCreateMat( 3, 4, CV_32F );
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for (int i = 0; i < 3; i++){
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CV_MAT_ELEM( *r2t2, float, i, 0) = CV_MAT_ELEM( *rotation_matrix_right, float, i, 0);
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CV_MAT_ELEM( *r2t2, float, i, 1) = CV_MAT_ELEM( *rotation_matrix_right, float, i, 1);
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CV_MAT_ELEM( *r2t2, float, i, 2) = CV_MAT_ELEM( *rotation_matrix_right, float, i, 2);
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CV_MAT_ELEM( *r2t2, float, i, 3) = CV_MAT_ELEM( *translation_right, float, i, 0);
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}
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//creating R1.i()
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CvMat* r1inv = cvCreateMat( 3, 3, CV_32F );
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cvInvert(rotation_matrix_left, r1inv);
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//creating A.i()
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CvMat* intrinsicinv = cvCreateMat( 3, 3, CV_32F );
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cvInvert(intrinsic, intrinsicinv);
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//creating R1.i()*A.i()
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CvMat* R1iAi = cvCreateMat( 3, 3, CV_32F );
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cvMatMul(r1inv, intrinsicinv, R1iAi);
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//creating R2.i()
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CvMat* r2inv = cvCreateMat( 3, 3, CV_32F );
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cvInvert(rotation_matrix_right, r2inv, CV_LU);
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//creating R2.i()*A.i()
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CvMat* R2iAi = cvCreateMat( 3, 3, CV_32F );
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cvMatMul(r2inv, intrinsicinv, R2iAi);
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//creating R1.i()*T1
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CvMat* a1 = cvCreateMat(3, 1, CV_32F);
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cvMatMul(r1inv, translation_left, a1);
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//creating R2.i()*T2
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CvMat* a2 = cvCreateMat(3, 1, CV_32F);
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cvMatMul(r2inv, translation_right, a2);
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//*****************DONE********************
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//open file for writing
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ofstream scanfile;
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char scanname[10];
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sprintf(scanname,"scan000.3d");
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scanfile.open(scanname);
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//for loop going through each frame in the provided folder between first_valid_frame and last_valid_frame
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for (int m=first; m<last; m++){
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char name[100];
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sprintf(name, "%s/%08d.ppm", path,m);
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cout<<name<<endl;
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if ((image =cvLoadImage(name))==NULL){
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cout<<"cannot load image: "<<name<<endl;
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continue;
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}
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//do difference between current frame and the empty frame with no laser
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IplImage* diff = cvCloneImage(image);
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cvAbsDiff(image_empty, image, diff);
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//focus on the red pixels, make others black
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unsigned char* pixels = (unsigned char*)diff->imageData;
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for (int row = 0; row < diff->height; row++){
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for (int col = 0; col < diff->width; col++){
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int R;
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R = pixels[ row * diff->widthStep + col * 3 + 2 ];
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if (R>30) {
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pixels[ row * diff->widthStep + col * 3 + 0 ] = 0;
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pixels[ row * diff->widthStep + col * 3 + 1 ] = 0;
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pixels[ row * diff->widthStep + col * 3 + 2 ] = 255;
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} else {
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pixels[ row * diff->widthStep + col * 3 + 0 ] = 0;
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pixels[ row * diff->widthStep + col * 3 + 1 ] = 0;
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pixels[ row * diff->widthStep + col * 3 + 2 ] = 0;
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}
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}
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}
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//remove pixels that don't have at least 2 red neighbors
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for (int row = 1; row < diff->height-1; row++){
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for (int col = 1; col < diff->width-1; col++){
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int R = pixels[ row * diff->widthStep + col * 3 + 2 ];
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if (R == 255){
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int r1 = pixels[ (row-1)*diff->widthStep + col * 3 + 2];
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int r2 = pixels[ (row-1)*diff->widthStep + (col-1) * 3 + 2];
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int r3 = pixels[ (row-1)*diff->widthStep + (col+1) * 3 + 2];
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int r4 = pixels[ (row+1)*diff->widthStep + col * 3 + 2];
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int r5 = pixels[ (row+1)*diff->widthStep + (col-1) * 3 + 2];
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int r6 = pixels[ (row+1)*diff->widthStep + (col+1) * 3 + 2];
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int r7 = pixels[ (row)*diff->widthStep + (col-1) * 3 + 2];
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int r8 = pixels[ (row)*diff->widthStep + (col+1) * 3 + 2];
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if (r1+r2+r3+r4+r5+r6+r7+r8<=255) pixels[ row * diff->widthStep + col * 3 + 2 ]=0;
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}
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}
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}
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//*****finding 2 lines on the image*****
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bool good = false;
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int threshold = 50; //original threshold for Hough transform, incremented if too many groups of lines found
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IplImage* color_dst;
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IplImage* tmpImage;
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int minX1, minX2, maxX1, maxX2;
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CvSeq* lines = 0;
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CvPoint* line1;
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CvPoint* line2;
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int count_groups;
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//incrementing thresholds until only 2 groups of lines can be found
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while(!good){
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good = true;
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count_groups = 0; //counter for number of line groups. Line group is defined by the slope
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int epsilon = 1.5; //error margin for the slope
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color_dst = cvCreateImage( cvGetSize(diff), 8, 3 );
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color_dst = cvCloneImage(diff);
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tmpImage = cvCreateImage(cvGetSize(diff), IPL_DEPTH_8U, 1);
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cvCvtColor(diff, tmpImage, CV_RGB2GRAY);
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IplImage* dst = cvCreateImage( cvGetSize(diff), 8, 1 );
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cvCanny(tmpImage, dst, 20, 60, 3 );
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CvMemStorage* storage = cvCreateMemStorage(0);
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//find all lines using Hough transform
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lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180,threshold, 150, 100 );
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double first_group, second_group;
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for(int i = 0; i < lines->total; i++ ){
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//get the slope of the line, check if it belongs to an already existing group
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CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);
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double angle = atan((double)(line[1].x-line[0].x)/(double)(line[1].y-line[0].y))*180/PI;
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//starting first group
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if (count_groups==0){
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first_group = angle;
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line1 = line;
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minX1 = line[0].x;
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maxX1 = line[1].x;
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count_groups++;
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} else {
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if (angle-first_group<epsilon && angle-first_group>(epsilon*-1)){
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//line belongs to the first group of line..that's good
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if (line[0].x<minX1)minX1=line[0].x;
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if (line[1].x>maxX1)maxX1=line[1].x;
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} else {
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//check if belongs to the second group
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if ( count_groups == 2 ){
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if (angle-second_group<epsilon && angle - second_group>(epsilon*-1)){
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if (line[0].x<minX2)minX2=line[0].x;
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if (line[1].x>maxX2)maxX2=line[1].x;
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}else{
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//if not then try again with a higher threshold
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good = false;
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threshold+=20;
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cout<<"Increased threshold: "<<threshold<<" ";
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cvReleaseImage(&color_dst);
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cvReleaseImage(&tmpImage);
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cvReleaseImage(&dst);
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break; //get out of here and increase the threshold since too many lines were found
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}
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} else { //starting second group
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second_group = angle;
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minX2 = line[0].x;
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maxX2 = line[1].x;
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line2 = line;
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count_groups++;
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}
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}
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}
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}
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//freeing some memory along the way
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cvReleaseMemStorage(&storage);
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cvReleaseImage(&dst);
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}
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//at this point we have found at most 2 groups of lines, we need to take only 1 line from each group
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//basically finding the left-most and right-most point of each group and draw a line between those points, removing all the other lines.
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//starting and ending points of 2 lines
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CvPoint point1;
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CvPoint point2;
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CvPoint point3;
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CvPoint point4;
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if (count_groups==2){
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int x1 = line1[0].x;
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int x2 = line1[1].x;
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int y1 = line1[0].y;
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int y2 = line1[1].y;
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double c1 = (double)(x1 - minX1)/(double)(x2 - minX1);
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double c2 = (double)(maxX1 - x1)/(double)(maxX1 - x2);
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int ymax, ymin;
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ymin = (c1*y2 - y1)/(c1-1);
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ymax = (c2*y2 - y1)/(c2-1);
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if (maxX1 == x2) ymax = y2;
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if (minX1 == x1) ymin = y1;
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//getting start and end of the first line
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point1 = cvPoint(minX1, ymin);
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point2 = cvPoint(maxX1, ymax);
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//points around all the lines in a group so that a black rectangle can be drawn above them
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CvPoint points[4];
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points[0]=cvPoint(minX1, max(0,ymin-10));
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points[1]=cvPoint(minX1, min(color_dst->height,ymin+10));
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points[2]=cvPoint(maxX1, min(color_dst->height,ymax+10));
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points[3]=cvPoint(maxX1, max(0,ymax-10));
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CvPoint* pts[1];
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pts[0]=points;
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int npts[1];
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npts[0]=4;
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cvPolyLine(color_dst, pts, npts,1,1, CV_RGB(0,0,0), 20, 8 );//removing the group
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x1 = line2[0].x;
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x2 = line2[1].x;
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y1 = line2[0].y;
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y2 = line2[1].y;
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c1 = (double)(x1 - minX2)/(double)(x2 - minX2);
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c2 = (double)(maxX2 - x1)/(double)(maxX2 - x2);
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ymin = (c1*y2 - y1)/(c1-1);
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ymax = (c2*y2 - y1)/(c2-1);
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if (maxX2 == x2) ymax = y2;
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if (minX2 == x1) ymin = y1;
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//getting start and end of the second line
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point3 = cvPoint(minX2, ymin);
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point4 = cvPoint(maxX2, ymax);
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points[0]=cvPoint(minX2, max(0,ymin-10));
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points[1]=cvPoint(minX2, min(color_dst->height,ymin+10));
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points[2]=cvPoint(maxX2, min(color_dst->height,ymax+10));
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points[3]=cvPoint(maxX2, max(0,ymax-10));
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pts[0]=points;
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cvPolyLine(color_dst, pts, npts,1,1, CV_RGB(0,0,0), 20, 8 );//removing the group
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cvLine(color_dst, point3, point4,CV_RGB(0,255,0),3, 8 ); //draw the second line!
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cvLine(color_dst, point1, point2,CV_RGB(0,255,0),3, 8 ); //draw the first line!
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//removing everything to the left of the left line and to the right of the right line
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if (point4.x > point2.x){
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if (color_dst->width > point4.x){
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cvRectangle(color_dst,cvPoint(point4.x,0),cvPoint(color_dst->width,color_dst->height),CV_RGB(0,0,0),CV_FILLED);
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}
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if (point1.x > 0){
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cvRectangle(color_dst,cvPoint(point1.x,0),cvPoint(0,color_dst->height),CV_RGB(0,0,0),CV_FILLED);
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}
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}
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if (point4.x < point2.x){
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if (color_dst->width > point2.x){
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cvRectangle(color_dst,cvPoint(point2.x,0),cvPoint(color_dst->width,color_dst->height),CV_RGB(0,0,0),CV_FILLED);
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}
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if (point3.x > 0){
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cvRectangle(color_dst,cvPoint(point3.x,0),cvPoint(0,color_dst->height),CV_RGB(0,0,0),CV_FILLED);
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}
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}
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//at this point we have to lines which we drew in green...which means all the red pixels that remain on the image
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//are supposed to be laying on the object. Make them blue (for no particular reason..just looked nicer :) )
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unsigned char* pixels = (unsigned char*)color_dst->imageData;
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for (int row = 1; row < color_dst->height-1; row++){
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for (int col = 1; col < color_dst->width-1; col++){
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int R = pixels[ row * color_dst->widthStep + col * 3 + 2 ];
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if (R == 255){
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pixels[ row * color_dst->widthStep + col * 3 + 0 ]=255;
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pixels[ row * color_dst->widthStep + col * 3 + 1 ]=0;
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pixels[ row * color_dst->widthStep + col * 3 + 2 ]=0;
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}
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}
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}
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} else continue;
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|
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//take points on planes
|
|
CvPoint left1, left2, right1;
|
|
if (point1.x < point3.x){
|
|
left1 = point1;
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|
left2 = point2;
|
|
right1 = point3;
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|
} else {
|
|
left1 = point3;
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|
left2 = point4;
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|
right1 = point1;
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|
}
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|
|
|
//find 3d coordinate of the 2 points on the line on the left plane
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|
//(x,y,z).t() = s*R.i()*A.i()*(u,v,1).t() - R.i()*T
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|
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CvMat* imagepoint1 = cvCreateMat( 3, 1, CV_32F );
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CV_MAT_ELEM(*imagepoint1, float, 0, 0) = left1.x;
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CV_MAT_ELEM(*imagepoint1, float, 1, 0) = left1.y;
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CV_MAT_ELEM(*imagepoint1, float, 2, 0) = 1;
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|
|
|
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CvMat* b1 = cvCreateMat(3, 1, CV_32F);
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|
cvMatMul(R1iAi, imagepoint1, b1);
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|
|
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//calculate scalar s based on the fact that point we take is on the wall => z coordinate is 0
|
|
float s1 = CV_MAT_ELEM(*a1, float, 2, 0)/CV_MAT_ELEM(*b1, float, 2, 0);
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|
|
|
CvMat* identity = cvCreateMat(3,3,CV_32F);
|
|
cvSetIdentity(identity);
|
|
for (int i = 0; i < 3; i++){
|
|
CV_MAT_ELEM(*identity, float, i, i)=s1;
|
|
}
|
|
CvMat* temp = cvCreateMat(3,1,CV_32F);
|
|
cvMatMul(identity,b1, temp);
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|
|
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CvMat* dpoint1 = cvCreateMat(3,1,CV_32F);
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cvSub(temp, a1, dpoint1); //first 3d point on the left plane
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|
|
|
//same thing for the second point
|
|
CvMat* imagepoint2 = cvCreateMat( 3, 1, CV_32F );
|
|
|
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CV_MAT_ELEM(*imagepoint2, float, 0, 0) = left2.x;
|
|
CV_MAT_ELEM(*imagepoint2, float, 1, 0) = left2.y;
|
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CV_MAT_ELEM(*imagepoint2, float, 2, 0) = 1;
|
|
|
|
CvMat* b2 = cvCreateMat(3, 1, CV_32F);
|
|
cvMatMul(R1iAi, imagepoint2, b2);
|
|
|
|
float s2 = CV_MAT_ELEM(*a1, float, 2, 0)/CV_MAT_ELEM(*b2, float, 2, 0);
|
|
|
|
cvSetIdentity(identity, cvRealScalar(s2));
|
|
cvMatMul(identity,b2, b2);
|
|
|
|
CvMat* dpoint2 = cvCreateMat(3,1,CV_32F);
|
|
cvSub(b2, a1, dpoint2); //second 3d point on the left plane
|
|
|
|
//same for the point on the right plane
|
|
CvMat* imagepoint3 = cvCreateMat( 3, 1, CV_32F );
|
|
CV_MAT_ELEM(*imagepoint3, float, 0, 0) = right1.x;
|
|
CV_MAT_ELEM(*imagepoint3, float, 1, 0) = right1.y;
|
|
CV_MAT_ELEM(*imagepoint3, float, 2, 0) = 1;
|
|
|
|
CvMat* b3 = cvCreateMat(3, 1, CV_32F);
|
|
cvMatMul(R2iAi, imagepoint3, b3);
|
|
|
|
float s3 = CV_MAT_ELEM(*a2, float, 2, 0)/CV_MAT_ELEM(*b3, float, 2, 0);
|
|
|
|
cvSetIdentity(identity, cvRealScalar(s3));
|
|
cvMatMul(identity,b3, b3);
|
|
|
|
CvMat* dpoint3 = cvCreateMat(3,1,CV_32F);
|
|
cvSub(b3, a2, dpoint3); //point on the right plane
|
|
|
|
//convert point from the right plane into the coord. system of the left plane
|
|
//p1 = R1.i()*[R2|T2]*p2 - R1.i()*T1
|
|
CvMat* dpoint3left = cvCreateMat(3,1,CV_32F);
|
|
CvMat* pw = cvCreateMat(4,1,CV_32F);
|
|
for (int i = 0; i<3; i++){
|
|
CV_MAT_ELEM(*pw, float, i, 0) = CV_MAT_ELEM(*dpoint3, float, i, 0);
|
|
}
|
|
CV_MAT_ELEM(*pw, float, 3, 0) = 1.0;
|
|
CvMat* r2t2pw = cvCreateMat(3,1,CV_32F);
|
|
cvMatMul(r2t2, pw, r2t2pw);
|
|
CvMat* r1invr2t2pw = cvCreateMat(3,1,CV_32F);
|
|
cvMatMul(r1inv, r2t2pw, r1invr2t2pw);
|
|
|
|
cvSub(r1invr2t2pw, a1, dpoint3left);
|
|
//now that we have 3 non-colinear point in the same coordinate system we can find the equation of the plane
|
|
/*
|
|
A = y1 (z2 - z3) + y2 (z3 - z1) + y3 (z1 - z2)
|
|
B = z1 (x2 - x3) + z2 (x3 - x1) + z3 (x1 - x2)
|
|
C = x1 (y2 - y3) + x2 (y3 - y1) + x3 (y1 - y2)
|
|
- D = x1 (y2 z3 - y3 z2) + x2 (y3 z1 - y1 z3) + x3 (y1 z2 - y2 z1)
|
|
*/
|
|
float x1 = CV_MAT_ELEM(*dpoint1, float,0,0);
|
|
float y1 = CV_MAT_ELEM(*dpoint1, float,1,0);
|
|
float z1 = CV_MAT_ELEM(*dpoint1, float,2,0);
|
|
float x2 = CV_MAT_ELEM(*dpoint2, float,0,0);
|
|
float y2 = CV_MAT_ELEM(*dpoint2, float,1,0);
|
|
float z2 = CV_MAT_ELEM(*dpoint2, float,2,0);
|
|
float x3 = CV_MAT_ELEM(*dpoint3left, float,0,0);
|
|
float y3 = CV_MAT_ELEM(*dpoint3left, float,1,0);
|
|
float z3 = CV_MAT_ELEM(*dpoint3left, float,2,0);
|
|
float planeA = (y1 * (z2 - z3)) + (y2 * (z3 - z1)) + (y3 * (z1 - z2));
|
|
float planeB = (z1 * (x2 - x3)) + (z2 * (x3 - x1)) + (z3 * (x1 - x2));
|
|
float planeC = (x1 * (y2 - y3)) + (x2 * (y3 - y1)) + (x3 * (y1 - y2));
|
|
float planeD = -((x1 * (y2 * z3 - y3 * z2)) + (x2 * (y3 * z1 - y1 * z3)) + (x3 * (y1 * z2 - y2 * z1)));
|
|
|
|
//calculate normal to the lazer plane
|
|
CvMat* planeNormal = cvCreateMat(3, 1, CV_32F);
|
|
CV_MAT_ELEM(*planeNormal, float,0,0) = planeA;
|
|
CV_MAT_ELEM(*planeNormal, float,1,0) = planeB;
|
|
CV_MAT_ELEM(*planeNormal, float,2,0) = planeC;
|
|
|
|
pixels = (unsigned char*)color_dst->imageData;
|
|
unsigned char* color_pixels = (unsigned char*)image_empty->imageData;
|
|
|
|
//go through all the pixels on the object and calculate the 3d coordinate
|
|
for (int row = 1; row < color_dst->height-1; row++){
|
|
for (int col = 1; col < color_dst->width-1; col++){
|
|
int B = pixels[ row * color_dst->widthStep + col * 3];
|
|
if (B == 255){
|
|
//get RGB of the pixel on the original image
|
|
int realB = color_pixels[ row * color_dst->widthStep + col * 3];
|
|
int realG = color_pixels[ row * color_dst->widthStep + col * 3 + 1];
|
|
int realR = color_pixels[ row * color_dst->widthStep + col * 3 + 2];
|
|
//Used http://www.cs.princeton.edu/courses/archive/fall00/cs426/lectures/raycast/sld017.htm for reference
|
|
//on how to find intersection of ray and a plane
|
|
float p0dotN = cvDotProduct(a1,planeNormal);
|
|
|
|
CvMat* vtmp = cvCreateMat(3,1,CV_32F);
|
|
CV_MAT_ELEM(*vtmp, float,0,0) = col;
|
|
CV_MAT_ELEM(*vtmp, float,1,0) = row;
|
|
CV_MAT_ELEM(*vtmp, float,2,0) = 1;
|
|
|
|
CvMat* v = cvCreateMat(3,1,CV_32F);
|
|
cvMatMul(R1iAi, vtmp, v);
|
|
|
|
float vdotN = cvDotProduct(v,planeNormal);
|
|
float t = (p0dotN - planeD)/vdotN;
|
|
|
|
cvSetIdentity(identity, cvRealScalar(t));
|
|
cvMatMul(identity,v,v);
|
|
|
|
CvMat* final = cvCreateMat(3,1,CV_32F);
|
|
cvSub(v,a1,final); //final point is still in the coordinate system of the left plane.
|
|
|
|
CvMat* final_rotated = cvCreateMat(3,1,CV_32F); //translate it into the coordinate system of the camera
|
|
cvMatMul(rotation_matrix_left,final,final_rotated);
|
|
cvAdd(final_rotated,translation_left, final_rotated);
|
|
|
|
//add point to the file (minus next to the y coordinate is there to compensate for the left-handed coordinate system of slam6d, otherwise
|
|
//dwarf is shown upside-down.
|
|
scanfile<<CV_MAT_ELEM(*final_rotated,float,0,0)<<" "<<-CV_MAT_ELEM(*final_rotated,float,1,0)<<" "<<CV_MAT_ELEM(*final_rotated,float,2,0)<<
|
|
" "<< realR<<" "<<realG<<" "<<realB<<"\n";
|
|
cvReleaseMat(&vtmp);
|
|
cvReleaseMat(&v);
|
|
cvReleaseMat(&final);
|
|
cvReleaseMat(&final_rotated);
|
|
|
|
}
|
|
}
|
|
}
|
|
|
|
//save the image of the lines and points of the object
|
|
char name2[100];
|
|
sprintf(name2, "%s/%08d_diff.ppm", path,m);
|
|
cvSaveImage(name2, color_dst);
|
|
//free memory
|
|
cvReleaseImage(&image);
|
|
cvReleaseImage(&diff);
|
|
cvReleaseImage(&color_dst);
|
|
cvReleaseImage(&tmpImage);
|
|
cvReleaseMat(&imagepoint1);
|
|
cvReleaseMat(&imagepoint2);
|
|
cvReleaseMat(&imagepoint3);
|
|
cvReleaseMat(&b1);
|
|
cvReleaseMat(&b2);
|
|
cvReleaseMat(&b3);
|
|
cvReleaseMat(&temp);
|
|
cvReleaseMat(&dpoint1);
|
|
cvReleaseMat(&dpoint2);
|
|
cvReleaseMat(&dpoint3);
|
|
cvReleaseMat(&dpoint3left);
|
|
cvReleaseMat(&identity);
|
|
cvReleaseMat(&pw);
|
|
cvReleaseMat(&r2t2pw);
|
|
cvReleaseMat(&r1invr2t2pw);
|
|
cvReleaseMat(&planeNormal);
|
|
}
|
|
//free more memory
|
|
cvReleaseImage(&image_empty);
|
|
cvReleaseMat(&intrinsic);
|
|
cvReleaseMat(&intrinsicinv);
|
|
cvReleaseMat(&rotation_left);
|
|
cvReleaseMat(&rotation_matrix_left);
|
|
cvReleaseMat(&rotation_right);
|
|
cvReleaseMat(&rotation_matrix_right);
|
|
cvReleaseMat(&translation_left);
|
|
cvReleaseMat(&translation_right);
|
|
cvReleaseMat(&r1inv);
|
|
cvReleaseMat(&r2inv);
|
|
cvReleaseMat(&R1iAi);
|
|
cvReleaseMat(&R2iAi);
|
|
cvReleaseMat(&r1t1);
|
|
cvReleaseMat(&r2t2);
|
|
cvReleaseMat(&a1);
|
|
cvReleaseMat(&a2);
|
|
|
|
//close file
|
|
scanfile.close();
|
|
return 0;
|
|
}
|