java 人脸识别 问题！

no jniopencv_objdetect in java.library.path

目前累计服务客户上1000+，积累了丰富的产品开发及服务经验。以网站设计水平和技术实力，树立企业形象，为客户提供网站设计制作、网站设计、网站策划、网页设计、网络营销、VI设计、网站改版、漏洞修补等服务。成都创新互联始终以务实、诚信为根本，不断创新和提高建站品质，通过对领先技术的掌握、对创意设计的研究、对客户形象的视觉传递、对应用系统的结合，为客户提供更好的一站式互联网解决方案，携手广大客户，共同发展进步。

opencv的相应的dll，没有放到环境变量PATH 所指的目录

java怎么实现人脸识别？

应该可以通过java调用别人的人脸识别的接口,主要是利用图像处理的技术,识别关键点

如何开发Java动态人脸识别

1.环境搭建

整个项目的结构图

2.编写DetectFaceDemo.java,代码如下：

[java] view plaincopy

package com.njupt.zhb.test;

import org.opencv.core.Core;

import org.opencv.core.Mat;

import org.opencv.core.MatOfRect;

import org.opencv.core.Point;

import org.opencv.core.Rect;

import org.opencv.core.Scalar;

import org.opencv.highgui.Highgui;

import org.opencv.objdetect.CascadeClassifier;

//

// Detects faces in an image, draws boxes around them, and writes the results

// to "faceDetection.png".

//

public class DetectFaceDemo {

public void run() {

System.out.println("\nRunning DetectFaceDemo");

System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());

// Create a face detector from the cascade file in the resources

// directory.

//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());

//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());

//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误

/*

* Detected 0 faces Writing faceDetection.png libpng warning: Image

* width is zero in IHDR libpng warning: Image height is zero in IHDR

* libpng error: Invalid IHDR data

*/

//因此，我们将第一个字符去掉

String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);

CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);

Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));

// Detect faces in the image.

// MatOfRect is a special container class for Rect.

MatOfRect faceDetections = new MatOfRect();

faceDetector.detectMultiScale(image, faceDetections);

System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

// Draw a bounding box around each face.

for (Rect rect : faceDetections.toArray()) {

Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));

}

// Save the visualized detection.

String filename = "faceDetection.png";

System.out.println(String.format("Writing %s", filename));

Highgui.imwrite(filename, image);

}

}

3.编写测试类：

[java] view plaincopy

package com.njupt.zhb.test;

public class TestMain {

public static void main(String[] args) {

System.out.println("Hello, OpenCV");

// Load the native library.

System.loadLibrary("opencv_java246");

new DetectFaceDemo().run();

}

}

//运行结果:

//Hello, OpenCV

//

//Running DetectFaceDemo

///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml

//Detected 8 faces

//Writing faceDetection.png

当前名称：java人脸识别简单代码的简单介绍
当前路径：http://cdweb.net/article/heddpc.html