/// <summary>
/// 提取单人脸特征
/// </summary>
/// <param name="pEngine">人脸识别引擎</param>
/// <param name="image">图片</param>
/// <param name="singleFaceInfo">单人脸信息</param>
/// <returns>单人脸特征</returns>
public static bool ASFImageQualityDetectEx(FaceEngine faceEngine, Image image, SingleFaceInfo singleFaceInfo)
{
bool qualityResult = false;
try
{
MultiFaceInfo multiFaceInfo = new MultiFaceInfo();
multiFaceInfo.faceNum = 1;
multiFaceInfo.faceOrients = new int[1];
multiFaceInfo.faceOrients[0] = singleFaceInfo.faceOrient;
multiFaceInfo.faceRects = new MRECT[1];
multiFaceInfo.faceRects[0] = singleFaceInfo.faceRect;
//图片质量检测
ImageQualityInfo imageQualityInfo = new ImageQualityInfo();
int qualityRetCode = faceEngine.ASFImageQualityDetectEx(image, multiFaceInfo, out imageQualityInfo);
if (qualityRetCode == 0 && imageQualityInfo != null && imageQualityInfo.faceQualityValues[0] > 0.35)
{
qualityResult = true;
}
}
catch (Exception ex)
{
LogUtil.LogInfo(typeof(FaceUtil), ex);
}
return(qualityResult);
}
/// <summary>
/// 提取人脸特征，多人脸默认取第一个人脸特征
/// </summary>
/// <param name="pEngine">引擎Handle</param>
/// <param name="image">图像</param>
/// <param name="thresold">图像质量检测阈值</param>
/// <returns>保存人脸特征结构体指针</returns>
public static FaceFeature ExtractFeature(FaceEngine faceEngine, Image image, float thresoldImg, float thresoleImgMask, ASF_RegisterOrNot registerOrNot, out SingleFaceInfo singleFaceInfo, out bool isMask, ref string featureResult, out int retCode, int faceIndex = 0)
{
FaceFeature faceFeature = new FaceFeature();
singleFaceInfo = new SingleFaceInfo();
isMask = false;
retCode = -1;
try
{
if (image == null)
{
return(faceFeature);
}
MultiFaceInfo multiFaceInfo;
//人脸检测
retCode = faceEngine.ASFDetectFacesEx(image, out multiFaceInfo);
if (retCode != 0 || multiFaceInfo.faceNum <= 0)
{
featureResult = string.Format("{1},接口返回值:{0}", retCode, retCode != 0 ? "人脸检测失败" : "检测到的人脸数为0");
return(faceFeature);
}
singleFaceInfo.faceOrient = multiFaceInfo.faceOrients[faceIndex];
singleFaceInfo.faceRect = multiFaceInfo.faceRects[faceIndex];
singleFaceInfo.faceDataInfo = multiFaceInfo.faceDataInfoList[faceIndex];
//口罩检测
MaskInfo maskInfo = MaskEstimation(faceEngine, image, singleFaceInfo, out retCode);
if (retCode != 0 || maskInfo.maskArray == null || maskInfo.maskArray.Length <= 0)
{
featureResult = string.Format("{1},接口返回值:{0}", retCode, retCode != 0 ? "口罩检测失败" : "检测到的口罩结果为空");
return(faceFeature);
}
isMask = maskInfo.maskArray[0].Equals(1);
//图像质量检测
float confidenceLevel = 0.0f;
retCode = faceEngine.ASFImageQualityDetectEx(image, multiFaceInfo, out confidenceLevel, faceIndex, isMask);
if (retCode != 0 || confidenceLevel < (isMask ? thresoleImgMask : thresoldImg))
{
featureResult = string.Format("{1},接口返回值:{0}", retCode, retCode != 0 ? "图像质量检测失败" : "图像质量过低");
return(faceFeature);
}
//特征提取
retCode = faceEngine.ASFFaceFeatureExtractEx(image, multiFaceInfo, registerOrNot, out faceFeature, faceIndex, isMask);
if (retCode != 0)
{
featureResult = string.Format("特征提取失败,接口返回值:{0}", retCode);
}
}
catch (Exception ex)
{
LogUtil.LogInfo(typeof(FaceUtil), ex);
}
return(faceFeature);
}
