5 * Created by Victor Eruhimov on 8/5/09.
6 * Copyright 2009 Argus Corp. All rights reserved.
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 #include "opencv2/nonfree/nonfree.hpp"
15 #include "opencv2/legacy/legacy.hpp"
16 #include "opencv2/legacy/compat.hpp"
23 printf("\nThis program demonstrates the one way interest point descriptor found in features2d.hpp\n"
24 "Correspondences are drawn\n");
25 printf("Format: \n./one_way_sample <path_to_samples> <image1> <image2>\n");
26 printf("For example: ./one_way_sample . ../c/scene_l.bmp ../c/scene_r.bmp\n");
31 Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, const Mat& img2,
32 const vector<KeyPoint>& features2, const vector<int>& desc_idx);
34 int main(int argc, char** argv)
36 const char images_list[] = "one_way_train_images.txt";
37 const CvSize patch_size = cvSize(24, 24);
38 const int pose_count = 50;
46 std::string path_name = argv[1];
47 std::string img1_name = path_name + "/" + std::string(argv[2]);
48 std::string img2_name = path_name + "/" + std::string(argv[3]);
50 printf("Reading the images...\n");
51 Mat img1 = imread(img1_name, CV_LOAD_IMAGE_GRAYSCALE);
52 Mat img2 = imread(img2_name, CV_LOAD_IMAGE_GRAYSCALE);
54 // extract keypoints from the first image
55 SURF surf_extractor(5.0e3);
56 vector<KeyPoint> keypoints1;
58 // printf("Extracting keypoints\n");
59 surf_extractor(img1, Mat(), keypoints1);
61 printf("Extracted %d keypoints...\n", (int)keypoints1.size());
63 printf("Training one way descriptors... \n");
65 OneWayDescriptorBase descriptors(patch_size, pose_count, OneWayDescriptorBase::GetPCAFilename(), path_name,
67 IplImage img1_c = img1;
68 IplImage img2_c = img2;
69 descriptors.CreateDescriptorsFromImage(&img1_c, keypoints1);
72 // extract keypoints from the second image
73 vector<KeyPoint> keypoints2;
74 surf_extractor(img2, Mat(), keypoints2);
75 printf("Extracted %d keypoints from the second image...\n", (int)keypoints2.size());
77 printf("Finding nearest neighbors...");
78 // find NN for each of keypoints2 in keypoints1
80 desc_idx.resize(keypoints2.size());
81 for (size_t i = 0; i < keypoints2.size(); i++)
85 descriptors.FindDescriptor(&img2_c, keypoints2[i].pt, desc_idx[i], pose_idx, distance);
89 Mat img_corr = DrawCorrespondences(img1, keypoints1, img2, keypoints2, desc_idx);
91 imshow("correspondences", img_corr);
95 Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, const Mat& img2,
96 const vector<KeyPoint>& features2, const vector<int>& desc_idx)
98 Mat part, img_corr(Size(img1.cols + img2.cols, MAX(img1.rows, img2.rows)), CV_8UC3);
99 img_corr = Scalar::all(0);
100 part = img_corr(Rect(0, 0, img1.cols, img1.rows));
101 cvtColor(img1, part, COLOR_GRAY2RGB);
102 part = img_corr(Rect(img1.cols, 0, img2.cols, img2.rows));
103 cvtColor(img1, part, COLOR_GRAY2RGB);
105 for (size_t i = 0; i < features1.size(); i++)
107 circle(img_corr, features1[i].pt, 3, CV_RGB(255, 0, 0));
110 for (size_t i = 0; i < features2.size(); i++)
112 Point pt((int)features2[i].pt.x + img1.cols, (int)features2[i].pt.y);
113 circle(img_corr, pt, 3, Scalar(0, 0, 255));
114 line(img_corr, features1[desc_idx[i]].pt, pt, Scalar(0, 255, 0));