// javadoc: AlignMTB::process(src, dst, times, response)
public void process(List<Mat> src, List<Mat> dst, Mat times, Mat response) {
Mat src_mat = Converters.vector_Mat_to_Mat(src);
Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
process_0(nativeObj, src_mat.nativeObj, dst_mat.nativeObj, times.nativeObj, response.nativeObj);
return;
}
// javadoc: AlignMTB::process(src, dst)
public void process(List<Mat> src, List<Mat> dst) {
Mat src_mat = Converters.vector_Mat_to_Mat(src);
Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
process_1(nativeObj, src_mat.nativeObj, dst_mat.nativeObj);
return;
}
/**
* Detects keypoints in an image (first variant) or image set (second variant).
*
* @param images Image set.
* @param keypoints The detected keypoints. In the second variant of the method <code>keypoints[i]
* </code> is a set of keypoints detected in <code>images[i]</code>.
* @param masks Masks for each input image specifying where to look for keypoints (optional).
* <code>masks[i]</code> is a mask for <code>images[i]</code>.
* @see <a
* href="http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html#featuredetector-detect">org.opencv.features2d.FeatureDetector.detect</a>
*/
public void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks) {
Mat images_mat = Converters.vector_Mat_to_Mat(images);
Mat keypoints_mat = new Mat();
Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
return;
}
public void setMatVector(String name, List<Mat> value) {
Mat value_mat = Converters.vector_Mat_to_Mat(value);
setMatVector_0(nativeObj, name, value_mat.nativeObj);
return;
}
