How to convert an OpenCV cv::Mat into a float* that can be fed into Vlfeat vl_dsift_process ?

Question:

How to convert an OpenCV cv::Mat into a float* that can be fed into Vlfeat vl_dsift_process? I cannot understand how vl_dsift_process works on a one-dimensional float array. The official samples only demonstrate how to use MatLab API. It seems that there are no samples about C API, and the only clue is the MEX file in the source package.

Answer:

float* matData = (float*)myMat.data;

Make sure the matrix is not deleted/goes out of scope before finishing using the pointer to data. And make sure the matrix contain floats.

I cannot understand how vl_dsift_process works on a one-dimensional float array

DSIFT expects a grayscale image where intensivity of pixel (x, y) is stored in float_array[y * width + x] as float value. In OpenCV images are stored as unsigned chars so simple conversion of Mat::data to float* will not work. You have to manually convert every value to float:

Mat mat = imread("image_name.jpg", 0); // 0 stands for grayscale vector<float> img; for (int i = 0; i < mat.rows; ++i) for (int j = 0; j < mat.cols; ++j) img.push_back(mat.at<unsigned char>(i, j)); vl_dsift_process(dsift, &img[0]);