How to Convert Java Code to Android Compatiable Code

import static com.googlecode.javacv.cpp.opencv_core.CV_AA;
import static com.googlecode.javacv.cpp.opencv_core.IPL_DEPTH_8U;
import static com.googlecode.javacv.cpp.opencv_core.cvGetSeqElem;
import static com.googlecode.javacv.cpp.opencv_core.cvLoad;
import static com.googlecode.javacv.cpp.opencv_core.cvPoint;
import static com.googlecode.javacv.cpp.opencv_core.cvRectangle;
import static com.googlecode.javacv.cpp.opencv_core.cvSetImageROI;
import static com.googlecode.javacv.cpp.opencv_highgui.cvLoadImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvSaveImage;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_BGR2GRAY;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvCvtColor;
import static com.googlecode.javacv.cpp.opencv_objdetect.cvHaarDetectObjects;

import java.util.Random;

import com.googlecode.javacv.CanvasFrame;
import com.googlecode.javacv.cpp.opencv_core.CvMemStorage;
import com.googlecode.javacv.cpp.opencv_core.CvRect;
import com.googlecode.javacv.cpp.opencv_core.CvScalar;
import com.googlecode.javacv.cpp.opencv_core.CvSeq;
import com.googlecode.javacv.cpp.opencv_core.IplImage;
import com.googlecode.javacv.cpp.opencv_objdetect.CvHaarClassifierCascade;

public class FaceDetection {

	// The cascade definition to be used for detection.
	private static final String CASCADE_FILE = "C:\\OpenCV2.3\\opencv\\data\\haarcascades\\haarcascade_frontalface_alt.xml";

	public static void main(String arg[]) throws Exception {

		float randomNumber = 0;

		Random random = new Random();

		randomNumber = random.nextFloat();

		// Load the original image.
		IplImage originalImage = cvLoadImage(
				"E:\\4 th Year 1Semester\\Project\\JavaCVApp\\Steve-Jobs-iphone_320.jpg", 1);

		// create image window named "My Image"
		final CanvasFrame canvas = new CanvasFrame("My Image");

		// request closing of the application when the image window is closed
		canvas.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);

		// We need a grayscale image in order to do the recognition, so we
		// create a new image of the same size as the original one.
		IplImage grayImage = IplImage.create(originalImage.width(),
				originalImage.height(), IPL_DEPTH_8U, 1);

		// We convert the original image to grayscale.
		cvCvtColor(originalImage, grayImage, CV_BGR2GRAY);

		CvMemStorage storage = CvMemStorage.create();

		// We instantiate a classifier cascade to be used for detection, using
		// the cascade definition.
		CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(
				cvLoad(CASCADE_FILE));

		// We detect the faces.
		CvSeq faces = cvHaarDetectObjects(grayImage, cascade, storage, 1.1, 3,
				0);

		// We iterate over the discovered faces and draw yellow rectangles
		// around them.
		for (int i = 0; i < faces.total(); i++) {

			CvRect r = new CvRect(cvGetSeqElem(faces, i));

			cvRectangle(originalImage, cvPoint(r.x(), r.y()),
					cvPoint(r.x() + r.width(), r.y() + r.height()),
					CvScalar.YELLOW, 1, CV_AA, 0);
			// show image on window
			canvas.showImage(originalImage);
		}

		for (int i = 0; i < faces.total(); i++) {

			CvRect r = new CvRect(cvGetSeqElem(faces, i));

			cvRectangle(originalImage, cvPoint(r.x(), r.y()),
					cvPoint(r.x() + r.width(), r.y() + r.height()),
					CvScalar.YELLOW, 1, CV_AA, 0);

			cvSetImageROI(originalImage, r);
			// Save the image to a new file.
			cvSaveImage("E:\\4 th Year 1Semester\\Project\\JavaCVApp\\src\\"
					+ randomNumber + i + ".jpg", originalImage);

		}

		System.out.println("nu=" + faces.total());

	}

}