用 Java 实现人脸识别功能（附源码） (3)

后台解析前端传过来的图片，提取人像特征存入数据库，人像特征的提取主要是靠FaceEngine引擎，顺着源码一路看下去，自己才疏学浅实在是没懂具体是个什么样的算法。

/* 人脸添加 */ @RequestMapping(value = "/faceAdd", method = RequestMethod.POST) @ResponseBody public Result<Object> faceAdd(@RequestParam("file") String file, @RequestParam("groupId") Integer groupId, @RequestParam("name") String name) { try { //解析图片 byte[] decode = Base64.decode(base64Process(file)); ImageInfo imageInfo = ImageFactory.getRGBData(decode); //人脸特征获取 byte[] bytes = faceEngineService.extractFaceFeature(imageInfo); if (bytes == null) { return Results.newFailedResult(ErrorCodeEnum.NO_FACE_DETECTED); } UserFaceInfo userFaceInfo = new UserFaceInfo(); userFaceInfo.setName(name); userFaceInfo.setGroupId(groupId); userFaceInfo.setFaceFeature(bytes); userFaceInfo.setFaceId(RandomUtil.randomString(10)); //人脸特征插入到数据库 userFaceInfoService.insertSelective(userFaceInfo); logger.info("faceAdd:" + name); return Results.newSuccessResult(""); } catch (Exception e) { logger.error("", e); } return Results.newFailedResult(ErrorCodeEnum.UNKNOWN); }

3、人像特征对比

人脸识别：将前端传入的图像经过人像特征提取后，和库中已存在的人像信息对比分析

/* 人脸识别 */ @RequestMapping(value = "/faceSearch", method = RequestMethod.POST) @ResponseBody public Result<FaceSearchResDto> faceSearch(String file, Integer groupId) throws Exception { byte[] decode = Base64.decode(base64Process(file)); BufferedImage bufImage = ImageIO.read(new ByteArrayInputStream(decode)); ImageInfo imageInfo = ImageFactory.bufferedImage2ImageInfo(bufImage); //人脸特征获取 byte[] bytes = faceEngineService.extractFaceFeature(imageInfo); if (bytes == null) { return Results.newFailedResult(ErrorCodeEnum.NO_FACE_DETECTED); } //人脸比对，获取比对结果 List<FaceUserInfo> userFaceInfoList = faceEngineService.compareFaceFeature(bytes, groupId); if (CollectionUtil.isNotEmpty(userFaceInfoList)) { FaceUserInfo faceUserInfo = userFaceInfoList.get(0); FaceSearchResDto faceSearchResDto = new FaceSearchResDto(); BeanUtil.copyProperties(faceUserInfo, faceSearchResDto); List<ProcessInfo> processInfoList = faceEngineService.process(imageInfo); if (CollectionUtil.isNotEmpty(processInfoList)) { //人脸检测 List<FaceInfo> faceInfoList = faceEngineService.detectFaces(imageInfo); int left = faceInfoList.get(0).getRect().getLeft(); int top = faceInfoList.get(0).getRect().getTop(); int width = faceInfoList.get(0).getRect().getRight() - left; int height = faceInfoList.get(0).getRect().getBottom() - top; Graphics2D graphics2D = bufImage.createGraphics(); graphics2D.setColor(Color.RED);//红色 BasicStroke stroke = new BasicStroke(5f); graphics2D.setStroke(stroke); graphics2D.drawRect(left, top, width, height); ByteArrayOutputStream outputStream = new ByteArrayOutputStream(); ImageIO.write(bufImage, "jpg", outputStream); byte[] bytes1 = outputStream.toByteArray(); faceSearchResDto.setImage("data:image/jpeg;base64," + Base64Utils.encodeToString(bytes1)); faceSearchResDto.setAge(processInfoList.get(0).getAge()); faceSearchResDto.setGender(processInfoList.get(0).getGender().equals(1) ? "女" : "男"); } return Results.newSuccessResult(faceSearchResDto); } return Results.newFailedResult(ErrorCodeEnum.FACE_DOES_NOT_MATCH); }

整个人脸识别功能的大致流程图如下：

总结

整个项目的设计思路比较清晰，难点在于人脸识别引擎 和 前端JS部分代码，其他的功能比较平常。

源码地址：https://github.com/xinzhfiu/ArcSoftFaceDemo/，有任何技术问题，欢迎随时沟通