博主最近想实现一下基于Web应用的人脸识别登录功能，在网上查找了相关的博客示例之后并没有找到一篇能够彻底解决我问题的。通过自己阅读虹软（ArcSoft）的开放文档，以及示例代码，博主实现了简单的Java后端实现人脸识别的功能。
虹软视觉开放平台虹软人脸检测开放平台
点击上方链接进入虹软视觉开放平台，注册账号新建应用后选择系统（x86为32位系统，x64位64位系统），选择语言（博主以Java 为例）
点击上图中的下载SDK或者下载其他版本来下载虹软示例代码
博主选择的是虹软3.0版本。
代码示例import com.arcsoft.face.*;
import com.arcsoft.face.enums.*;
import com.arcsoft.face.toolkit.ImageInfo;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import com.arcsoft.face.toolkit.ImageInfoEx;
import static com.arcsoft.face.toolkit.ImageFactory.getGrayData;
import static com.arcsoft.face.toolkit.ImageFactory.getRGBData;
public class FaceEngineTest {
public static void main(String[] args) {
//appId和sdkKey从官网获取
String appId = "";
String sdkKey = "";
//此处的路径换为自己本地的虹软引擎的路径，即指向下载的包中WIN64或WIN32（记得解压）
FaceEngine faceEngine = new FaceEngine("E:\Program Files (x86)\ArcSoft\libs\WIN64");
//激活引擎
int errorCode = faceEngine.activeOnline(appId, sdkKey);
if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
System.out.println("引擎激活失败");
System.out.println(errorCode);
}
ActiveFileInfo activeFileInfo=new ActiveFileInfo();
errorCode = faceEngine.getActiveFileInfo(activeFileInfo);
if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
System.out.println("获取激活文件信息失败");
}
//引擎配置
EngineConfiguration engineConfiguration = new EngineConfiguration();
engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);
engineConfiguration.setDetectFaceMaxNum(10);
engineConfiguration.setDetectFaceScaleval(16);
//功能配置
FunctionConfiguration functionConfiguration = new FunctionConfiguration();
functionConfiguration.setSupportAge(true);
functionConfiguration.setSupportFace3dAngle(true);
functionConfiguration.setSupportFaceDetect(true);
functionConfiguration.setSupportFaceRecognition(true);
functionConfiguration.setSupportGender(true);
functionConfiguration.setSupportLiveness(true);
functionConfiguration.setSupportIRLiveness(true);
engineConfiguration.setFunctionConfiguration(functionConfiguration);
//初始化引擎
errorCode = faceEngine.init(engineConfiguration);
if (errorCode != ErrorInfo.MOK.getValue()) {
System.out.println("初始化引擎失败");
}
//人脸检测
//此处路径改为自己本地的测试图片路径
ImageInfo imageInfo = getRGBData(new File("C:\Users\12620\Desktop\2.jpg"));
List faceInfoList = new ArrayList();
errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);
System.out.println(faceInfoList);
//特征提取
FaceFeature faceFeature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature);
System.out.println("特征值大小：" + faceFeature.getFeatureData().length);
System.out.println(faceFeature.getFeatureData());
//人脸检测2
//此处路径改为自己本地的测试图片路径
ImageInfo imageInfo2 = getRGBData(new File("C:\Users\12620\Desktop\4.jpg"));
List faceInfoList2 = new ArrayList();
errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo.getImageFormat(), faceInfoList2);
System.out.println(faceInfoList);
//特征提取2
FaceFeature faceFeature2 = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo.getImageFormat(), faceInfoList2.get(0), faceFeature2);
System.out.println("特征值大小：" + faceFeature.getFeatureData().length);
System.out.println(faceFeature2.getFeatureData());
//特征比对
FaceFeature targetFaceFeature = new FaceFeature();
targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
FaceFeature sourceFaceFeature = new FaceFeature();
sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
FaceSimilar faceSimilar = new FaceSimilar();
errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
System.out.println("相似度：" + faceSimilar.getScore());
//设置活体测试
errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
//人脸属性检测
FunctionConfiguration configuration = new FunctionConfiguration();
configuration.setSupportAge(true);
configuration.setSupportFace3dAngle(true);
configuration.setSupportGender(true);
configuration.setSupportLiveness(true);
errorCode = faceEngine.process(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);
//性别检测
List genderInfoList = new ArrayList();
errorCode = faceEngine.getGender(genderInfoList);
System.out.println("性别：" + genderInfoList.get(0).getGender());
//年龄检测
List ageInfoList = new ArrayList();
errorCode = faceEngine.getAge(ageInfoList);
System.out.println("年龄：" + ageInfoList.get(0).getAge());
//3D信息检测
List face3DAngleList = new ArrayList();
errorCode = faceEngine.getFace3DAngle(face3DAngleList);
System.out.println("3D角度：" + face3DAngleList.get(0).getPitch() + "," + face3DAngleList.get(0).getRoll() + "," + face3DAngleList.get(0).getYaw());
//活体检测
List livenessInfoList = new ArrayList();
errorCode = faceEngine.getLiveness(livenessInfoList);
System.out.println("活体：" + livenessInfoList.get(0).getLiveness());
//IR属性处理
//此处路径改为自己本地的测试图片路径
ImageInfo imageInfoGray = getGrayData(new File("C:\\Users\\12620\\Desktop\\2.jpg"));
List faceInfoListGray = new ArrayList();
errorCode = faceEngine.detectFaces(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);
FunctionConfiguration configuration2 = new FunctionConfiguration();
configuration2.setSupportIRLiveness(true);
errorCode = faceEngine.processIr(imageInfoGray.getImageData(), imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration2);
//IR活体检测
List irLivenessInfo = new ArrayList<>();
errorCode = faceEngine.getLivenessIr(irLivenessInfo);
System.out.println("IR活体：" + irLivenessInfo.get(0).getLiveness());
ImageInfoEx imageInfoEx = new ImageInfoEx();
imageInfoEx.setHeight(imageInfo.getHeight());
imageInfoEx.setWidth(imageInfo.getWidth());
imageInfoEx.setImageFormat(imageInfo.getImageFormat());
imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});
imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});
List faceInfoList1 = new ArrayList<>();
errorCode = faceEngine.detectFaces(imageInfoEx, DetectModel.ASF_DETECT_MODEL_RGB, faceInfoList1);
FunctionConfiguration fun = new FunctionConfiguration();
fun.setSupportAge(true);
errorCode = faceEngine.process(imageInfoEx, faceInfoList1, functionConfiguration);
List ageInfoList1 = new ArrayList<>();
int age = faceEngine.getAge(ageInfoList1);
System.out.println("年龄：" + ageInfoList1.get(0).getAge());
FaceFeature feature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfoEx, faceInfoList1.get(0), feature);
//引擎卸载
errorCode = faceEngine.unInit();
}
}
注意事项
使用该示例代码的时候有几点需要注意：
1、appId和sdkKey从官网获取，并填入相应地方（代码中已经注释）记得去除复制下来的String中的APP_ID:和SDK_KEY:字样
2、虹软引擎路径换为自己本地的虹软引擎的路径（代码中已经注释），即指向下载的包中WIN64或WIN32（记得解压）
3、有三处路径改为自己本地的测试图片路径（代码中已经注释）
4、实例中libs文件夹下的jar包需要应用到项目的库中
5、建议可以打印一下errorCode错误代码，如有错误根据错误代码在虹软官方错误查询，上述示例中已经打印错误代码
写在最后该博客的示例代码中博主只实现了Java代码，跑通了虹软给的官方示例代码，人脸识别功能博主用在了web应用之中，如果大家需要的话博主再出一篇前端摄像头捕捉人脸的博客或者前后端分离的人脸识别示例博客！
