samples/c/one_way_sample.cpp

   1 /*
   2  *  one_way_sample.cpp
   3  *  outlet_detection
   4  *
   5  *  Created by Victor  Eruhimov on 8/5/09.
   6  *  Copyright 2009 Argus Corp. All rights reserved.
   7  *
   8  */
   9
  10 #include "opencv2/imgproc/imgproc.hpp"
  11 #include "opencv2/features2d/features2d.hpp"
  12 #include "opencv2/highgui/highgui.hpp"
  13 #include "opencv2/imgproc/imgproc_c.h"
  14
  15 #include <string>
  16
  17 using namespace cv;
  18
  19 IplImage* DrawCorrespondences(IplImage* img1, const vector<KeyPoint>& features1, IplImage* img2,
  20                               const vector<KeyPoint>& features2, const vector<int>& desc_idx);
  21
  22 int main(int argc, char** argv)
  23 {
  24     const char images_list[] = "one_way_train_images.txt";
  25     const CvSize patch_size = cvSize(24, 24);
  26     const int pose_count = 50;
  27
  28     if (argc != 3 && argc != 4)
  29     {
  30         printf("Format: \n./one_way_sample [path_to_samples] [image1] [image2]\n");
  31         printf("For example: ./one_way_sample ../../../opencv/samples/c scene_l.bmp scene_r.bmp\n");
  32         return 0;
  33     }
  34
  35     std::string path_name = argv[1];
  36     std::string img1_name = path_name + "/" + std::string(argv[2]);
  37     std::string img2_name = path_name + "/" + std::string(argv[3]);
  38
  39     printf("Reading the images...\n");
  40     IplImage* img1 = cvLoadImage(img1_name.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
  41     IplImage* img2 = cvLoadImage(img2_name.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
  42
  43     // extract keypoints from the first image
  44     SURF surf_extractor(5.0e3);
  45     vector<KeyPoint> keypoints1;
  46
  47     // printf("Extracting keypoints\n");
  48     surf_extractor(img1, Mat(), keypoints1);
  49
  50     printf("Extracted %d keypoints...\n", (int)keypoints1.size());
  51
  52     printf("Training one way descriptors... \n");
  53     // create descriptors
  54     OneWayDescriptorBase descriptors(patch_size, pose_count, OneWayDescriptorBase::GetPCAFilename(), path_name,
  55                                      images_list);
  56     descriptors.CreateDescriptorsFromImage(img1, keypoints1);
  57     printf("done\n");
  58
  59     // extract keypoints from the second image
  60     vector<KeyPoint> keypoints2;
  61     surf_extractor(img2, Mat(), keypoints2);
  62     printf("Extracted %d keypoints from the second image...\n", (int)keypoints2.size());
  63
  64     printf("Finding nearest neighbors...");
  65     // find NN for each of keypoints2 in keypoints1
  66     vector<int> desc_idx;
  67     desc_idx.resize(keypoints2.size());
  68     for (size_t i = 0; i < keypoints2.size(); i++)
  69     {
  70         int pose_idx = 0;
  71         float distance = 0;
  72         descriptors.FindDescriptor(img2, keypoints2[i].pt, desc_idx[i], pose_idx, distance);
  73     }
  74     printf("done\n");
  75
  76     IplImage* img_corr = DrawCorrespondences(img1, keypoints1, img2, keypoints2, desc_idx);
  77
  78     cvNamedWindow("correspondences", 1);
  79     cvShowImage("correspondences", img_corr);
  80     cvWaitKey(0);
  81
  82     cvReleaseImage(&img1);
  83     cvReleaseImage(&img2);
  84     cvReleaseImage(&img_corr);
  85 }
  86
  87 IplImage* DrawCorrespondences(IplImage* img1, const vector<KeyPoint>& features1, IplImage* img2,
  88                               const vector<KeyPoint>& features2, const vector<int>& desc_idx)
  89 {
  90     IplImage* img_corr = cvCreateImage(cvSize(img1->width + img2->width, MAX(img1->height, img2->height)),
  91                                        IPL_DEPTH_8U, 3);
  92     cvSetImageROI(img_corr, cvRect(0, 0, img1->width, img1->height));
  93     cvCvtColor(img1, img_corr, CV_GRAY2RGB);
  94     cvSetImageROI(img_corr, cvRect(img1->width, 0, img2->width, img2->height));
  95     cvCvtColor(img2, img_corr, CV_GRAY2RGB);
  96     cvResetImageROI(img_corr);
  97
  98     for (size_t i = 0; i < features1.size(); i++)
  99     {
 100         cvCircle(img_corr, features1[i].pt, 3, CV_RGB(255, 0, 0));
 101     }
 102
 103     for (size_t i = 0; i < features2.size(); i++)
 104     {
 105         CvPoint pt = cvPoint(features2[i].pt.x + img1->width, features2[i].pt.y);
 106         cvCircle(img_corr, pt, 3, CV_RGB(255, 0, 0));
 107         cvLine(img_corr, features1[desc_idx[i]].pt, pt, CV_RGB(0, 255, 0));
 108     }
 109
 110     return img_corr;
 111 }