在打开的简历中使用 BREIF 描述符时遇到错误。错误在于 BREIF 无法为所有关键点提供描述符。它提供的关键点数量少于预期的描述符。我得到的错误如下。错误仅使用 breif 描述符。使用 SURF 和 SURF 描述符没有错误
OpenCV 错误:checkMasks,文件 /home/ 中的断言失败 (masks[i].rows == queryDescriptorsCount && mask[i].cols == trainDescCollection[i].rows && mask[i].type() == CV_8UC1) shashank/Desktop/opencv-2.4.5/modules/features2d/src/matchers.cpp,第 259 行终止在抛出 'cv::Exception' what() 实例后调用:/home/shashank/Desktop/opencv-2.4。 5/modules/features2d/src/matchers.cpp:259: 错误:(-215) 掩码[i].rows == queryDescriptorsCount && 掩码[i].cols == trainDescCollection[i].rows && 掩码[i]。 type() == CV_8UC1 在函数 checkMasks
在进一步查询中,我们得到
前一个图像中的关键点编号 957 下一张图像中的关键点编号 910 breif 描述符的大小为32X880。它应该是 breif
描述符 32X847 的 32X957 大小。应该是 32X910
面罩 [910 x 957]
代码如下
cv::Ptr<FeatureDetector> detector=new GridAdaptedFeatureDetector(new SurfAdjuster(),keypt,noofbucketinwidth,noofbucketinlength);//surf
//cv::Ptr<FeatureDetector> detector=new GridAdaptedFeatureDetector(new FastAdjuster(10,true),keypt,noofbucketinwidth,noofbucketinlength); //FAST
detector->detect(img,keypointimage);
cout<<"noof keypoint "<<keypointimage.size()<<endl;
//for descriptor
Mat descriptor;
Ptr<DescriptorExtractor> extractdetector=DescriptorExtractor::create("SURF");
Ptr<DescriptorExtractor> extractdetector=DescriptorExtractor::create("BRIEF");
extractdetector->compute( img, detectedpoint, descriptor);
//for matching
if(FAST_H_prev.empty())
FAST_H_prev = Mat::eye(3,3,CV_32FC1);
std::vector<unsigned char> FAST_match_mask;
if(!currentimagekeypoint.empty())
{
std::vector<cv::KeyPoint> test_kpts;
warpKeypoints(FAST_H_prev.inv(), nextimagekeypoint, test_kpts);
cv::Mat FAST_mask = windowedMatchingMask( test_kpts, currentimagekeypoint, 25, 25);
matcher->match(Discriptorofnextimage,Discriptorofcurrentimage, FAST_matches, FAST_mask);
matches2points(currentimagekeypoint, nextimagekeypoint, FAST_matches, FAST_train_pts, FAST_query_pts);
if(FAST_matches.size() > 5)
{
cv::Mat H = findHomography(FAST_train_pts, FAST_query_pts, RANSAC, 4, FAST_match_mask);
if(countNonZero(Mat(FAST_match_mask)) > 15)
FAST_H_prev = H;
else
FAST_H_prev = Mat::eye(3,3,CV_32FC1);
drawMatchesRelative(currentimagekeypoint, nextimagekeypoint, FAST_matches, currentimage, FAST_match_mask);
}
}
else
{
FAST_H_prev = Mat::eye(3,3,CV_32FC1);
}