cvSaveImage Crashes on jdk6 update 21 about javacv HOT 3 CLOSED

Since you are running a 32-bit x86 implementation of Java, have you tried to 
recompile OpenCV without SSE instructions as indicated in the README.txt file?

Closing this long-standing issue, assuming that recompiling OpenCV without SSE 
instructions did the trick. Please reopen the issue if that is not the case, 
thank you.

Hi I am trying to use JavaCv to detect faces and then wanted to store those 
faces in jpg format. I got success in face detection using readme file with 
javacv. but while saving I faced problems. Following is the code ... I tried to 
use cvSave but it do not store it in correct format.Please guide where i am 
wrong . Thank you in advance

/*
 * To change this template, choose Tools | Templates
 * and open the template in the editor.
 */

package facedetect;

/**
 *
 * @author User
 */
import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.*;
import com.googlecode.javacv.cpp.*;
import java.awt.Image;
import java.nio.Buffer;
import static com.googlecode.javacv.cpp.opencv_core.*;
import static com.googlecode.javacv.cpp.opencv_imgproc.*;
import static com.googlecode.javacv.cpp.opencv_calib3d.*;
import static com.googlecode.javacv.cpp.opencv_objdetect.*;

public class Demo {
      public Buffer buf = null;
    public static void main(String[] args) throws Exception {
        String classifierName = "C:\\haarclass\\haarcascade_frontalface_alt.xml";


        // Preload the opencv_objdetect module to work around a known bug.
        Loader.load(opencv_objdetect.class);


        CvHaarClassifierCascade classifier = new CvHaarClassifierCascade(cvLoad("C:\\haarclass\\haarcascade_frontalface_alt.xml"));
        if (classifier.isNull()) {
            System.err.println("Error loading classifier file \"" + classifierName + "\".");
            System.exit(1);
        }
        CanvasFrame frame = new CanvasFrame("Face Detection");

        FrameGrabber grabber = new OpenCVFrameGrabber(0);
        grabber.start();
        IplImage grabbedImage = grabber.grab();

        int width  = grabbedImage.width();
        int height = grabbedImage.height();
        IplImage grayImage    = IplImage.create(width, height, IPL_DEPTH_8U, 1);

        CvMemStorage storage = CvMemStorage.create();


        CvPoint hatPoints = new CvPoint(3);
int counter=0;
     while (frame.isVisible() && (grabbedImage = grabber.grab()) != null && counter==0)
     {

            cvCvtColor(grabbedImage, grayImage, CV_BGR2GRAY);
            CvSeq faces = cvHaarDetectObjects(grayImage, classifier, storage,
                1.1, 3, CV_HAAR_DO_CANNY_PRUNING);
            int total = faces.total();
            for (int i = 0; i < total; i++)
            {
                CvRect r = new CvRect(cvGetSeqElem(faces, i));
                int x = r.x(), y = r.y(), w = r.width(), h = r.height();
                cvRectangle(grabbedImage, cvPoint(x, y), cvPoint(x+w, y+h), CvScalar.RED, 1, CV_AA, 0);
                cvRectangle(grabbedImage, cvPoint(x, y), cvPoint(x+w, y+h), CvScalar.BLUE, 1, CV_AA, 0);
                    // To access the elements of a native array, use the `position()` method
                hatPoints.position(0).x(x-w/10);    hatPoints.y(y-h/10);
                hatPoints.position(1).x(x+w*11/10); hatPoints.y(y-h/10);
                hatPoints.position(2).x(x+w/2);     hatPoints.y(y-h/2);
                cvFillConvexPoly(grabbedImage, hatPoints.position(0), 3, CvScalar.GREEN, CV_AA, 0);

            }
           //cvSave("D:\\img1.bmp", grabbedImage);
           // cvSaveImage("D:\\PhotoGallery.jpg", grabbedImage);
            counter=1;
            cvThreshold(grayImage, grayImage, 64, 255, CV_THRESH_BINARY);

            frame.showImage(grabbedImage);


            cvClearMemStorage(storage);
        }

        grabber.stop();
        frame.dispose();
    }
}