谢谢，回复

使用人脸对比那样的代码即可

/**
	 * 人脸对比示例代码
	 * @param path1 图片本地路径1
	 * @param token AccessToken
	 * @return
	 */
	public static String FaceVerify(String path1,String token) {
        try {
        	// 本地文件路径
            String filePath1 = path1;
            byte[] imgData1 = FileUtil.readFileByBytes(filePath1);
            String imgStr1 = Base64Util.encode(imgData1);
            List faceMatchs = new ArrayList();
            FaceMatchV3Bean faceMatch1 = new FaceMatchV3Bean(imgStr1,"BASE64");
            faceMatchs.add(faceMatch1);
            String param = JSONObject.toJSONString(faceMatchs);
            System.out.println("======"+param);
            // 注意这里仅为了简化编码每一次请求都去获取access_token，线上环境access_token有过期时间， 客户端可自行缓存，过期后重新获取。
            String accessToken = token;
            String result = HttpUtil.post("https://aip.baidubce.com/rest/2.0/face/v3/faceverify", accessToken, param);
            return result;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

package com.xs.pojo.face;

import org.json.JSONObject;



public class FaceMatchV3Bean {
		private String image;
		private String image_type;
		private String face_type;
		private String quality_control;
		private String liveness_control;
		public FaceMatchV3Bean() {
		}
		
		public FaceMatchV3Bean(String image, String image_type) {
			super();
			this.image = image;
			this.image_type = image_type;
		}

		public FaceMatchV3Bean(String image, String image_type, String face_type,
				String quality_control, String liveness_control) {
			super();
			this.image = image;
			this.image_type = image_type;
			this.face_type = face_type;
			this.quality_control = quality_control;
			this.liveness_control = liveness_control;
		}
		public String getImage() {
			return image;
		}
		public void setImage(String image) {
			this.image = image;
		}
		public String getImage_type() {
			return image_type;
		}
		public void setImage_type(String image_type) {
			this.image_type = image_type;
		}
		public String getFace_type() {
			return face_type;
		}
		public void setFace_type(String face_type) {
			this.face_type = face_type;
		}
		public String getQuality_control() {
			return quality_control;
		}
		public void setQuality_control(String quality_control) {
			this.quality_control = quality_control;
		}
		public String getLiveness_control() {
			return liveness_control;
		}
		public void setLiveness_control(String liveness_control) {
			this.liveness_control = liveness_control;
		}
		  public JSONObject toJsonObject() {
		        JSONObject obj = new JSONObject();
		        obj.put("image", this.image);
		        obj.put("image_type", this.image_type);
		        if (this.face_type != null) {
		            obj.put("face_type", this.face_type);
		        }
		        if (this.quality_control != null) {
		            obj.put("quality_control", this.quality_control);
		        }
		        if (this.liveness_control != null) {
		            obj.put("liveness_control", this.liveness_control);
		        }
		        return obj;
		    }
}

请问，上述问题解决了么？怎样解决的？

建议你使用和人脸对比一样的请求方式和参数即可。face_field参数并不是必须的

好的，谢谢你的解答

建议你提交工单咨询一下把

这是后端的问题吗？这个问题已经困扰我两天了

我API SDK都测试了。也是同样的问题

{
    "error_code": 0, 
    "error_msg": "SUCCESS", 
    "log_id": 4096480609, 
    "timestamp": 1525420074, 
    "cached": 0, 
    "result": {
        "thresholds": {
            "frr_1e-4": 0.05, 
            "frr_1e-3": 0.3, 
            "frr_1e-2": 0.9
        }, 
        "face_liveness": null, 
        "face_list": [ ]
    }
}