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使用 HTML5, javascript等實現基于 Web 的人臉識別 [複製鏈接]

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電梯直達

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發表於 2012-5-28 14:15:58 |只看該作者 |倒序瀏覽

使用 HTML5, javascript, webrtc, websockets, Jetty 和 OpenCV 实现基於 Web 的人脸识别这是一篇国外的文章，介绍如何通过 WebRTC、OpenCV 和 WebSocket 技术实现在 Web 浏览器上的人脸识别，架構在 Jetty 之上。实现的效果包括：人脸识别的核心代码：页面：01020304
0506後臺：01public class FaceDetection {0203private static final String CASCADE_FILE = resources/haarcascade_frontalface_alt.xml;0405private int minsize = 20;06private int group = 0;07private double scale = 1.1;0809/**10* Based on FaceDetection example from JavaCV.11*/12public byte[] convert(byte[] imageData) throws IOException {13// create image from supplied bytearray14IplImage originalImage = cvDecodeImage(cvMat(1, imageData.length,CV_8UC1, new BytePointer(imageData)));1516// Convert to grayscale for recognition17IplImage grayImage = IplImage.create(originalImage.width(), originalImage.height(), IPL_DEPTH_8U, 1);18cvCvtColor(originalImage, grayImage, CV_BGR2GRAY);1920// storage is needed to store information during detection21CvMemStorage storage = CvMemStorage.create();2223// Configuration to use in analysis24CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));2526// We detect the faces.27CvSeq faces = cvHaarDetectObjects(grayImage, cascade, storage, scale, group, minsize);2829// We iterate over the discovered faces and draw yellow rectangles around them.30for (int i = 0; i < faces.total(); i++) {31CvRect r = new CvRect(cvGetSeqElem(faces, i));32cvRectangle(originalImage, cvPoint(r.x(), r.y()),33cvPoint(r.x() + r.width(), r.y() + r.height()),34CvScalar.YELLOW, 1, CV_AA, 0);35}3637// convert the resulting image back to an array38ByteArrayOutputStream bout = new ByteArrayOutputStream();39BufferedImage imgb = originalImage.getBufferedImage();40ImageIO.write(imgb, png, bout);41return bout.toByteArray();42}43}详细的实现细节请阅读英文原文：http://www.smartjava.org/content ... ty-and-javacvopencv