在Windows下通過vs2015編譯擴展OpenCV 3.1.0 + opencv_contrib-3.1.0，以及Qt（MSVC）下的環境配置

最近需要使用opencv做一些特徵點檢測立體匹配等工作，但是相關的庫存在於opencv_contrib中，所以需要進行拓展編譯。網上有很多在Windows下通過vs對opencv和opencv_contrib進行編譯的教程，以及vs+opencv的環境配置，但是網上沒有編譯之後的Qt環境配置，經過近幾天的倒騰也終於成功配置，所以記下已被需要。

1、opencv+opencv_contrib的編譯以及vs的環境配置

網上有很多教程，參考教程：https://www.cnblogs.com/jliangqiu2016/p/5597501.html

2、Qt的環境配置

主要是配置hpp和lib的路徑。此處的hpp和lib均爲通過OpenCV.sln在VS2015上生成的install文件夾中的文件。具體配置如下：

INCLUDEPATH += D:\opencv3.1\opencv_contrib\install\include\
               D:\opencv3.1\opencv_contrib\install\include\opencv\
               D:\opencv3.1\opencv_contrib\install\include\opencv2

LIBS += -LD:\opencv3.1\opencv_contrib\install\x64\vc14\staticlib \
        -lippicvmt
LIBS += -LD:\opencv3.1\opencv_contrib\install\x64\vc14\lib \
            -lopencv_aruco310d \
            -lopencv_bgsegm310d \
            -lopencv_bioinspired310d \
            -lopencv_calib3d310d \
            -lopencv_ccalib310d \
            -lopencv_core310d \
            -lopencv_datasets310d \
            -lopencv_dnn310d \
            -lopencv_dpm310d \
            -lopencv_face310d \
            -lopencv_features2d310d \
            -lopencv_flann310d \
            -lopencv_fuzzy310d \
            -lopencv_highgui310d \
            -lopencv_imgcodecs310d \
            -lopencv_imgproc310d \
            -lopencv_line_descriptor310d \
            -lopencv_ml310d \
            -lopencv_objdetect310d \
            -lopencv_optflow310d \
            -lopencv_photo310d \
            -lopencv_plot310d \
            -lopencv_reg310d \
            -lopencv_rgbd310d \
            -lopencv_saliency310d \
            -lopencv_shape310d \
            -lopencv_stereo310d \
            -lopencv_stitching310d \
            -lopencv_structured_light310d \
            -lopencv_superres310d \
            -lopencv_surface_matching310d \
            -lopencv_text310d \
            -lopencv_tracking310d \
            -lopencv_ts310d \
            -lopencv_video310d \
            -lopencv_videoio310d \
            -lopencv_videostab310d \
            -lopencv_xfeatures2d310d \
            -lopencv_ximgproc310d \
            -lopencv_xobjdetect310d \
            -lopencv_xphoto310d

3、測試代碼及結果顯示

#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/xfeatures2d.hpp>
using namespace cv;
using namespace std;

int main()
{
    //創建特徵檢測實例
    Ptr<Feature2D> f2d = xfeatures2d::SIFT::create();
    //讀入圖片
    Mat img_1 = imread("D:/Qt/Project/opencv_test/1.bmp");
    Mat img_2 = imread("D:/Qt/Project/opencv_test/2.bmp");
    //檢測特徵點
    vector<KeyPoint> keypoints_1, keypoints_2;
    f2d->detect(img_1, keypoints_1);
    f2d->detect(img_2, keypoints_2);
    //計算特徵點向量
    Mat descriptors_1, descriptors_2;
    f2d->compute(img_1, keypoints_1, descriptors_1);
    f2d->compute(img_2, keypoints_2, descriptors_2);
    //特徵點匹配
    BFMatcher matcher;
    vector<DMatch> matches;
    matcher.match(descriptors_1, descriptors_2, matches);
    //繪製匹配出的關鍵點
    Mat img_matches;
    drawMatches(img_1, keypoints_1, img_2, keypoints_2, matches, img_matches);
    namedWindow("result", 0);
    imshow("result", img_matches);
    waitKey(0);
}

結果展示：