navigator.webkitGetUserMedia("video",
function(stream) {
video.src = webkitURL.createObjectURL(stream);
},
function(err) {
console.log("Unable to get video stream!")
}
)
timer = setInterval(
function () {
ctx.drawImage(video, 0, 0, 320, 240);
}, 250);
</script>
JavaScript Code复制内容到剪贴板
public class FaceDetection {
private static final String CASCADE_FILE ="resources/haarcascade_frontalface_alt.xml";
private int minsize = 20;
private int group = 0;
private double scale = 1.1;
/**
* Based on FaceDetection example from JavaCV.
*/
public byte[] convert(byte[] imageData) throws IOException {
// create image from supplied bytearray
IplImage originalImage = cvDecodeImage(cvMat(1, imageData.length,CV_8UC1, newBytePointer(imageData)));
// Convert to grayscale for recognition
IplImage grayImage = IplImage.create(originalImage.width(), originalImage.height(), IPL_DEPTH_8U, 1);
cvCvtColor(originalImage, grayImage, CV_BGR2GRAY);
// storage is needed to store information during detection
CvMemStorage storage = CvMemStorage.create();
// Configuration to use in analysis
CvHaarClassifierCascade cascade = newCvHaarClassifierCascade(cvLoad(CASCADE_FILE));
// We detect the faces.
CvSeq faces = cvHaarDetectObjects(grayImage, cascade, storage, scale, group, minsize);
// 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);
}
// convert the resulting image back to an array
ByteArrayOutputStream bout = new ByteArrayOutputStream();
BufferedImage imgb = originalImage.getBufferedImage();
ImageIO.write(imgb, "png", bout);
return bout.toByteArray();
}
}
更新时间：2010-12-18
