c++ - How to get more information about cv::Stitcher failing -

i have 2 cameras looking overhead @ square object, , i'd take 2 images , combine them 1 image (approximately) representative of overall area.

the views 2 cameras so:

the left edge of left image should stitch right edge of right image, dotted black line being point overlap.

my first attempt stitch images using technique in tutorial:

http://ramsrigoutham.com/2012/11/22/panorama-image-stitching-in-opencv/

#include <stdio.h> #include <iostream>  #include "opencv2/core/core.hpp" #include "opencv2/features2d/features2d.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/nonfree/nonfree.hpp" #include "opencv2/calib3d/calib3d.hpp" #include "opencv2/imgproc/imgproc.hpp"  using namespace cv;  void readme();  /** @function main */ int main( int argc, char** argv ) {  if( argc != 3 )  { readme(); return -1; }  // load images  mat image1= imread( argv[2] );  mat image2= imread( argv[1] );  mat gray_image1;  mat gray_image2;  // convert grayscale  cvtcolor( image1, gray_image1, cv_rgb2gray );  cvtcolor( image2, gray_image2, cv_rgb2gray );  imshow("first image",image2);  imshow("second image",image1);  if( !gray_image1.data || !gray_image2.data )  { std::cout<< " --(!) error reading images " << std::endl; return -1; }  //-- step 1: detect keypoints using surf detector  int minhessian = 400;  surffeaturedetector detector( minhessian );  std::vector< keypoint > keypoints_object, keypoints_scene;  detector.detect( gray_image1, keypoints_object );  detector.detect( gray_image2, keypoints_scene );  //-- step 2: calculate descriptors (feature vectors)  surfdescriptorextractor extractor;  mat descriptors_object, descriptors_scene;  extractor.compute( gray_image1, keypoints_object, descriptors_object );  extractor.compute( gray_image2, keypoints_scene, descriptors_scene );  //-- step 3: matching descriptor vectors using flann matcher  flannbasedmatcher matcher;  std::vector< dmatch > matches;  matcher.match( descriptors_object, descriptors_scene, matches );  double max_dist = 0; double min_dist = 100;  //-- quick calculation of max , min distances between keypoints  for( int = 0; < descriptors_object.rows; i++ )  { double dist = matches[i].distance;  if( dist < min_dist ) min_dist = dist;  if( dist > max_dist ) max_dist = dist;  }  printf("-- max dist : %f \n", max_dist );  printf("-- min dist : %f \n", min_dist );  //-- use "good" matches (i.e. distance less 3*min_dist )  std::vector< dmatch > good_matches;  for( int = 0; < descriptors_object.rows; i++ )  { if( matches[i].distance < 3*min_dist )  { good_matches.push_back( matches[i]); }  }  std::vector< point2f > obj;  std::vector< point2f > scene;  for( int = 0; < good_matches.size(); i++ )  {  //-- keypoints matches  obj.push_back( keypoints_object[ good_matches[i].queryidx ].pt );  scene.push_back( keypoints_scene[ good_matches[i].trainidx ].pt );  }  // find homography matrix  mat h = findhomography( obj, scene, cv_ransac );  // use homography matrix warp images  cv::mat result;  warpperspective(image1,result,h,cv::size(image1.cols+image2.cols,image1.rows));  cv::mat half(result,cv::rect(0,0,image2.cols,image2.rows));  image2.copyto(half);  imshow( "result", result );   waitkey(0);  return 0;  }  /** @function readme */  void readme()  { std::cout << " usage: panorama < img1 > < img2 >" << std::endl; } 

unfortunately, fails (consistently) error:

debug assertion failed! program: ....\vc\include\xmemory0 line 106 expression "(_ptr_user & (_big_allocation_alignment -1)) == 0" && 0

the call stack indicates happens during call std::_deallocate<cv::keypoint> -- presumably when keypoints vectors deallocated.

needless say, image stitching fails.

i've tried using cv::stitcher class, same error.

how can attempt stitch images , information how or why failing?

try use cv::stitcher such way below, simplest way warp images each other:

#include <iostream>  #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/stitching/stitcher.hpp>  int main(int argc, char** argv) {     cv::mat img1 = cv::imread("image1.jpg");     cv::mat img2 = cv::imread("image2.jpg");      if (img1.empty() || img2.empty())     {         return -1;     }      std::vector<cv::mat> imgs;     imgs.push_back(img1);     imgs.push_back(img2);     // push more images here ...      cv::mat panoramic;     cv::stitcher stitcher = cv::stitcher::createdefault(true);     stitcher.stitch(imgs, panoramic);      cv::imshow("result", panoramic);     cv::waitkey(0);      return 0; }