我一直在尝试从在线资源中进行SIFT / SURF，并想自己进行测试。

我首先尝试使用以下代码在没有非自由库的情况下:

int _tmain(int argc, _TCHAR* argv[])
{
Mat img = imread("c:\\car.jpg", 0);
Ptr<FeatureDetector> feature_detector = FeatureDetector::create("SIFT");
vector<KeyPoint> keypoints;

feature_detector->detect(img, keypoints);

Mat output;

drawKeypoints(img, keypoints, output, Scalar(255, 0, 0));

namedWindow("meh", CV_WINDOW_AUTOSIZE);
imshow("meh", output);
waitKey(0);



return 0;

int main(int argc, char** argv) 
{
    const Mat input = cv::imread("/tmp/image.jpg", 0); //Load as grayscale

    SiftFeatureDetector detector;
    vector<KeyPoint> keypoints;
    detector.detect(input, keypoints);

    // Add results to image and save.
    Mat output;
    drawKeypoints(input, keypoints, output);
    imwrite("/tmp/SIFT_RESULT.jpg", output);

    return 0;

 }

Unhandled exception at 0x007f0900 in SIFT.exe: 0xC0000005: Access violation reading location 0x00000000.

My setup: Microsoft Visual C++ 2010, OpenCV 2.4.2, Windows XP. All libraries added and linked

最佳答案

使用彩色图像而不是灰度图像，它对我有用。
如果彩色图像也不起作用，也可以尝试跳过“const”。

const Mat input = cv::imread("/tmp/image.jpg");

https://stackoverflow.com/questions/13162074/