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Java基于虹软实现人脸识别、人脸比对、活性检测等

时间：2022-10-06 11:58:46|栏目：JAVA代码|点击： 次

虹软

  • 免费，高级版本试用
  • 支持在线、离线
  • 有 Java SDK，C++ SDK

一、注册虹软开发者平台

点击注册

在这里插入图片描述

注册完成后可在“我的应用”中新建应用，获得 APP_ID 和 SDK_Key，请记住这两个信息，后续 SDK 中会用到。

在这里插入图片描述

接下来下载SDK就行了。

二、开始使用SDK

SDK包结构
在下载的sdk包中，包结构大概是这样

|—demo
| |—ArcFaceDemo Demo工程
|—doc
| |—ARCSOFT_ARC_FACE_DEVELOPER’S_GUIDE.PDF 开发说明文档
|—inc
| |—amcomdef.h 平台文件
| |—asvloffscreen.h 平台文件
| |—arcsoft_face_sdk.h 接口文件
| |—merror.h 错误码文件
|—lib
|—|---Win32/x64
| |—|---libarcsoft_face.dll 算法库
| |—|---libarcsoft_face_engine.dll 引擎库
| |—|---libarcsoft_face_engine.lib 引擎库
|—samplecode
| |—samplecode.cpp 示例代码
|—releasenotes.txt 说明文件

在项目中引入 SDK 包

<dependency>
    <groupId>arcsoft</groupId>
    <artifactId>arcsoft-sdk-face</artifactId>
    <version>3.0.0.0</version>
    <scope>system</scope>
    <systemPath>${project.basedir}/lib/arcsoft-sdk-face-3.0.0.0.jar</systemPath>
</dependency>

简单的集成

package com.study;

import com.arcsoft.face.*;
import com.arcsoft.face.enums.*;
import com.arcsoft.face.toolkit.ImageFactory;
import com.arcsoft.face.toolkit.ImageInfo;
import com.arcsoft.face.toolkit.ImageInfoEx;
import com.study.exception.CustomException;
import com.study.vo.FaceDetailInfo;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.File;
import java.net.URL;
import java.util.ArrayList;
import java.util.List;

/**
 * 集成虹软-人脸识别测试
 *
 * @author ouyangrongtao
 * @since 2022-02-20 19:12
 */
public class FaceEngineMain {

    // 从上述的开发者平台-“我的应用” 获取
    private static final String APP_ID = "";
    private static final String SDK_KEY = "";

    // sdk安装路径
    private static final String ARC_FACE_PATH = "arcsoft";

    private static final Logger LOGGER = LoggerFactory.getLogger(FaceEngineMain.class);

    public static void main(String[] args) {
        FaceEngineMain faceEngineMain = new FaceEngineMain();
        // 激活
        FaceEngine faceEngine = faceEngineMain.active();
        // 识别功能配置
        FunctionConfiguration functionConfiguration = faceEngineMain.getFunctionConfiguration();
        // 初始化识别引擎
        faceEngineMain.initEngine(faceEngine, functionConfiguration);

        ImageInfo imageInfo = ImageFactory.getRGBData(new File("d:\\aaa.jpeg"));
        ImageInfo imageInfo2 = ImageFactory.getRGBData(new File("d:\\bbb.jpeg"));

        // 人脸检测&特征提取1
        List<FaceDetailInfo> faceDetailInfoList1 = faceEngineMain.detectFaces(faceEngine, imageInfo);

        // 人脸检测&特征提取2
        List<FaceDetailInfo> faceDetailInfoList2 = faceEngineMain.detectFaces(faceEngine, imageInfo2);

        /*
         * 特征比对
         * 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82
         * 用于生活照之间的特征比对，推荐阈值0.80
         */
        FaceSimilar faceSimilar = faceEngineMain.compareFaceFeature(faceEngine,
                faceDetailInfoList1.get(0).getFaceFeature(), faceDetailInfoList2.get(0).getFaceFeature());
        LOGGER.info("相似度：{}", faceSimilar.getScore());

        // 获取人脸属性
        faceEngineMain.getFaceAttributes(faceEngine, imageInfo);

        ImageInfo imageInfo3 = ImageFactory.getRGBData(new File("d:\\ccc.jpg"));
        ImageInfo imageInfo4 = ImageFactory.getRGBData(new File("d:\\ddd.jpg"));

        // 人脸检测&特征提取3
        List<FaceDetailInfo> faceDetailInfoList3 = faceEngineMain.detectFacesEx(faceEngine, imageInfo3, DetectModel.ASF_DETECT_MODEL_RGB);

        // 人脸检测&特征提取4
        List<FaceDetailInfo> faceDetailInfoList4 = faceEngineMain.detectFacesEx(faceEngine, imageInfo4, DetectModel.ASF_DETECT_MODEL_RGB);

        // 特征比对
        FaceSimilar faceSimilar2 = faceEngineMain.compareFaceFeature(faceEngine,
                faceDetailInfoList3.get(0).getFaceFeature(), faceDetailInfoList4.get(0).getFaceFeature(), CompareModel.LIFE_PHOTO);
        /*
         * 特征比对
         * 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82
         * 用于生活照之间的特征比对，推荐阈值0.80
         */
        LOGGER.info("相似度：{}", faceSimilar2.getScore());

        // 获取人脸属性
        faceEngineMain.getFaceAttributesEx(faceEngine, imageInfo);

        ImageInfo imageInfoGray = ImageFactory.getGrayData(new File("d:\\ddd.jpg"));

        // 活体检测 RGB & IR
        faceEngineMain.getLiveness(faceEngine, imageInfo, imageInfoGray);

        // 卸载
        faceEngineMain.unInit(faceEngine);
    }

    /**
     * 活体检测
     * @param faceEngine 引擎
     * @param imageInfoRGB RGB图片信息
     * @param imageInfoGray Gray图片信息
     */
    private void getLiveness(FaceEngine faceEngine, ImageInfo imageInfoRGB, ImageInfo imageInfoGray) {
        // 人脸检测
        List<FaceInfo> faceInfoList = new ArrayList<>();
        faceEngine.detectFaces(imageInfoRGB.getImageData(),
                imageInfoRGB.getWidth(), imageInfoRGB.getHeight(), imageInfoRGB.getImageFormat(), faceInfoList);
        // 设置活体测试阀值
        faceEngine.setLivenessParam(0.5f, 0.7f);

        // RGB人脸检测
        FunctionConfiguration configuration = new FunctionConfiguration();
        configuration.setSupportLiveness(true);
        faceEngine.process(imageInfoRGB.getImageData(),
                imageInfoRGB.getWidth(), imageInfoRGB.getHeight(), imageInfoRGB.getImageFormat(), faceInfoList, configuration);

        // RGB活体检测
        List<LivenessInfo> livenessInfoList = new ArrayList<>();
        faceEngine.getLiveness(livenessInfoList);
        LOGGER.info("RGB活体：{}", livenessInfoList.get(0).getLiveness());

        // IR属性处理
        List<FaceInfo> faceInfoListGray = new ArrayList<>();
        // IR人脸检查
        faceEngine.detectFaces(imageInfoGray.getImageData(),
                imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);

        configuration = new FunctionConfiguration();
        configuration.setSupportIRLiveness(true);
        faceEngine.processIr(imageInfoGray.getImageData(),
                imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration);

        //IR活体检测
        List<IrLivenessInfo> irLivenessInfo = new ArrayList<>();
        faceEngine.getLivenessIr(irLivenessInfo);
        LOGGER.info("IR活体：{}", irLivenessInfo.get(0).getLiveness());
    }

    /**
     * 人脸属性检测
     * @param faceEngine 引擎
     * @param imageInfo 图片信息
     */
    private void getFaceAttributesEx(FaceEngine faceEngine, ImageInfo imageInfo) {
        // 人脸检测
        List<FaceInfo> faceInfoList = new ArrayList<>();
        faceEngine.detectFaces(imageInfo.getImageData(),
                imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);

        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});

        //人脸属性检测
        FunctionConfiguration configuration = new FunctionConfiguration();
        configuration.setSupportGender(true);
        configuration.setSupportAge(true);
        configuration.setSupportFace3dAngle(true);
        faceEngine.process(imageInfoEx, faceInfoList, configuration);

        //性别检测
        List<GenderInfo> genderInfoList = new ArrayList<>();
        faceEngine.getGender(genderInfoList);
        LOGGER.info("性别：{}", genderInfoList.get(0).getGender());

        //年龄检测
        List<AgeInfo> ageInfoList = new ArrayList<>();
        faceEngine.getAge(ageInfoList);
        LOGGER.info("年龄：{}", ageInfoList.get(0).getAge());

        //3D信息检测
        List<Face3DAngle> face3DAngleList = new ArrayList<>();
        faceEngine.getFace3DAngle(face3DAngleList);
        Face3DAngle face3DAngle = face3DAngleList.get(0);
        LOGGER.info("3D角度：{}", face3DAngle.getPitch() + "," + face3DAngle.getRoll() + "," + face3DAngle.getYaw());
    }

    /**
     * 人脸属性检测
     * @param faceEngine 引擎
     * @param imageInfo 图片信息
     */
    private void getFaceAttributes(FaceEngine faceEngine, ImageInfo imageInfo) {
        //人脸属性检测
        FunctionConfiguration configuration = new FunctionConfiguration();
        configuration.setSupportGender(true);
        configuration.setSupportAge(true);
        configuration.setSupportFace3dAngle(true);

        // 人脸检测
        List<FaceInfo> faceInfoList = new ArrayList<>();
        faceEngine.detectFaces(imageInfo.getImageData(),
                imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);

        faceEngine.process(imageInfo.getImageData(),
                imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);

        //性别检测
        List<GenderInfo> genderInfoList = new ArrayList<>();
        faceEngine.getGender(genderInfoList);
        LOGGER.info("性别：{}", genderInfoList.get(0).getGender());

        //年龄检测
        List<AgeInfo> ageInfoList = new ArrayList<>();
        faceEngine.getAge(ageInfoList);
        LOGGER.info("年龄：{}", ageInfoList.get(0).getAge());

        //3D信息检测
        List<Face3DAngle> face3DAngleList = new ArrayList<>();
        faceEngine.getFace3DAngle(face3DAngleList);
        Face3DAngle face3DAngle = face3DAngleList.get(0);
        LOGGER.info("3D角度：{}", face3DAngle.getPitch() + "," + face3DAngle.getRoll() + "," + face3DAngle.getYaw());
    }

    /**
     * 特征比对-可设置比对模型
     * @param faceEngine 引擎
     * @param sourceFaceFeature 原特征值
     * @param targetFaceFeature 比对的特征值
     * @param compareModel 比对模型
     * @return 比对结果
     */
    private FaceSimilar compareFaceFeature(FaceEngine faceEngine, FaceFeature sourceFaceFeature, FaceFeature targetFaceFeature, CompareModel compareModel) {
        // 特征比对
        FaceSimilar faceSimilar = new FaceSimilar();
        int errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, compareModel, faceSimilar);
        if (ErrorInfo.MOK.getValue() != errorCode) {
            LOGGER.error("人脸特征比对失败");
        }

        return faceSimilar;
    }

    /**
     * 特征比对
     * @param faceEngine 引擎
     * @param sourceFaceFeature 原特征值
     * @param targetFaceFeature 比对的特征值
     * @return 比对结果
     */
    private FaceSimilar compareFaceFeature(FaceEngine faceEngine, FaceFeature sourceFaceFeature, FaceFeature targetFaceFeature) {
        // 特征比对
        FaceSimilar faceSimilar = new FaceSimilar();
        int errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
        if (ErrorInfo.MOK.getValue() != errorCode) {
            LOGGER.error("人脸特征比对失败");
        }

        return faceSimilar;
    }

    /**
     * 人脸检测&特征提取--可设置检测模式
     * @param faceEngine 引擎
     * @param imageInfo 图片信息
     * @param detectModel 检测模式
     * @return 人脸信息
     */
    private List<FaceDetailInfo> detectFacesEx(FaceEngine faceEngine, ImageInfo imageInfo, DetectModel detectModel) {
        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<FaceInfo> faceInfoList = new ArrayList<>();
        faceEngine.detectFaces(imageInfoEx, detectModel, faceInfoList);

        List<FaceDetailInfo> faceDetailInfoList = new ArrayList<>(faceInfoList.size());
        for (FaceInfo faceInfo : faceInfoList) {
            LOGGER.info("imageInfoEx 人脸检测结果: {}", faceInfo);
            FaceFeature faceFeature = new FaceFeature();
            faceEngine.extractFaceFeature(imageInfoEx, faceInfo, faceFeature);

            LOGGER.info("imageInfoEx 特征值大小：{}", faceFeature.getFeatureData().length);

            FaceDetailInfo faceDetailInfo = new FaceDetailInfo(faceInfo, faceFeature);
            faceDetailInfoList.add(faceDetailInfo);
        }

        return faceDetailInfoList;
    }

    /**
     * 人脸检测&特征提取
     * @param faceEngine 引擎
     * @param imageInfo 图片信息
     * @return 人脸信息
     */
    private List<FaceDetailInfo> detectFaces(FaceEngine faceEngine, ImageInfo imageInfo) {
        // 人脸检测
        List<FaceInfo> faceInfoList = new ArrayList<>();
        faceEngine.detectFaces(imageInfo.getImageData(),
                imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);

        List<FaceDetailInfo> faceDetailInfoList = new ArrayList<>(faceInfoList.size());
        // 特征提取
        for (FaceInfo faceInfo : faceInfoList) {
            LOGGER.info("人脸检测结果: {}", faceInfo);

            FaceFeature faceFeature = new FaceFeature();
            faceEngine.extractFaceFeature(imageInfo.getImageData(),
                    imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfo, faceFeature);

            LOGGER.info("特征值大小：{}", faceFeature.getFeatureData().length);

            FaceDetailInfo faceDetailInfo = new FaceDetailInfo(faceInfo, faceFeature);
            faceDetailInfoList.add(faceDetailInfo);
        }

        return faceDetailInfoList;
    }

    /**
     * 初始化识别引擎
     * @param faceEngine 人脸识别引擎
     * @param functionConfiguration 功能配置
     */
    private void initEngine(FaceEngine faceEngine, FunctionConfiguration functionConfiguration) {
        // 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);

        engineConfiguration.setFunctionConfiguration(functionConfiguration);

        // 初始化引擎
        int errorCode = faceEngine.init(engineConfiguration);
        if (errorCode != ErrorInfo.MOK.getValue()) {
            throw new CustomException("初始化引擎失败");
        }
    }

    /**
     * 识别功能配置
     */
    private FunctionConfiguration getFunctionConfiguration() {
        // 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);

        return functionConfiguration;
    }

    /**
     * 激活 初次使用SDK时需要对SDK先进行激活，激活后无需重复调用；调用此接口时必须为联网状态，激活成功后即可离线使用；
     * @return FaceEngine 对象
     */
    private FaceEngine active() {
        URL resource = ClassLoader.getSystemResource(ARC_FACE_PATH);
        LOGGER.info("软件安装目录：{}", resource);

        FaceEngine faceEngine = new FaceEngine(resource.getPath());

        ActiveFileInfo activeFileInfo = new ActiveFileInfo();
        int errorCode = faceEngine.getActiveFileInfo(activeFileInfo);
        if (errorCode != ErrorInfo.MOK.getValue()
                && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
            LOGGER.info("获取激活文件信息失败");
        }

        // 首次激活
        errorCode = faceEngine.activeOnline(APP_ID, SDK_KEY);
        if (errorCode != ErrorInfo.MOK.getValue()
                && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {
            throw new CustomException("引擎激活失败");
        }

        LOGGER.info("激活信息：{}", activeFileInfo);

        return faceEngine;
    }

    /**
     * 卸载引擎
     * @param faceEngine 人脸识别引擎
     */
    private void unInit(FaceEngine faceEngine) {
        faceEngine.unInit();
    }
}

性能信息（参考官方文档）

在这里插入图片描述

阀值设置推荐（参考官方文档）

  1. 活体取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为活体。
    - RGB 活体：0.5
    - IR 活体：0.7

  2. 人脸比对取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为同一人。
    - 用于生活照之间的特征比对，推荐阈值0.80
    - 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82

产品文档 https://ai.arcsoft.com.cn/manual/docs#/89

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本文标题：Java基于虹软实现人脸识别、人脸比对、活性检测等

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