Question

我在open cv中使用BREIF描述符时遇到错误。错误是BREIF无法为所有关键点提供描述符。它给出了比预期更少数量的关键点的描述符。我得到的错误是。错误仅使用breif描述符。使用SURF和SURF描述符没有错误

OpenCV错误：断言失败（掩码[i] .rows == queryDescriptorsCount＆amp;＆amp;掩码[i] .cols == trainDescCollection [i] .rows＆amp;＆amp;掩码[i] .type（）==在checkMasks中的CV_8UC1），文件/home/shashank/Desktop/opencv-2.4.5/modules/features2d/src/matchers.cpp，第259行在抛出'cv :: Exception'的实例后终止调用 what（）：/ home /shanhank /Desktop / opencv-2.4.5 / modules / feature2d / src / matchers.cpp：259：error：（ - 1515）masks [i] .rows == queryDescriptorsCount＆amp;＆amp; mask [i] .cols == trainDescCollection [i] .rows＆amp;＆amp;函数checkMasks中的mask [i] .type（）== CV_8UC1

在进一步询问中，我们得到了在先前的图像957中没有关键点在下一图像910中没有关键点 breif描述符的大小 32X880。它应该是32X957 breif描述符的大小 32X847。它应该是32X910 面具[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);
    }

Answer 1

在OpenCV实现中，Breif描述符删除了距离边界太近的关键点。

//Remove keypoints very close to the border
KeyPointsFilter::runByImageBorder(keypoints, image.size(), PATCH_SIZE/2 + KERNEL_SIZE/2);

解决方案可能是过滤代码中的关键点，然后提取描述符。

Breif，Brisk描述符opencv出错

1 个答案: