/// <summary>
/// RGB摄像头Paint事件，图像显示到窗体上，得到每一帧图像，并进行处理
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void videoSource_Paint(object sender, PaintEventArgs e)
{
if (rgbVideoSource.IsRunning)
{
//得到当前RGB摄像头下的图片
Bitmap bitmap = rgbVideoSource.GetCurrentVideoFrame();
if (bitmap == null)
{
return;
}
//检测人脸，得到Rect框
ASF_MultiFaceInfo multiFaceInfo = FaceUtil.DetectFace(pVideoEngine, bitmap);
//得到最大人脸
ASF_SingleFaceInfo maxFace = FaceUtil.GetMaxFace(multiFaceInfo);
//得到Rect
MRECT rect = maxFace.faceRect;
//检测RGB摄像头下最大人脸
Graphics g = e.Graphics;
float offsetX = rgbVideoSource.Width * 1f / bitmap.Width;
float offsetY = rgbVideoSource.Height * 1f / bitmap.Height;
float x = rect.left * offsetX;
float width = rect.right * offsetX - x;
float y = rect.top * offsetY;
float height = rect.bottom * offsetY - y;
//根据Rect进行画框
g.DrawRectangle(Pens.Red, x, y, width, height);
if (trackRGBUnit.message != "" && x > 0 && y > 0)
{
//将上一帧检测结果显示到页面上
g.DrawString(trackRGBUnit.message, font, trackRGBUnit.message.Contains("活体") ? blueBrush : yellowBrush, x, y - 15);
}
//保证只检测一帧，防止页面卡顿以及出现其他内存被占用情况
if (isRGBLock == false)
{
isRGBLock = true;
//异步处理提取特征值和比对，不然页面会比较卡
ThreadPool.QueueUserWorkItem(new WaitCallback(delegate
{
if (rect.left != 0 && rect.right != 0 && rect.top != 0 && rect.bottom != 0)
{
try
{
lock (rectLock)
{
allRect.left = (int)(rect.left * offsetX);
allRect.top = (int)(rect.top * offsetY);
allRect.right = (int)(rect.right * offsetX);
allRect.bottom = (int)(rect.bottom * offsetY);
}
bool isLiveness = false;
//调整图片数据，非常重要
ImageInfo imageInfo = ImageUtil.ReadBMP(bitmap);
if (imageInfo == null)
{
return;
}
int retCode_Liveness = -1;
//RGB活体检测
ASF_LivenessInfo liveInfo = FaceUtil.LivenessInfo_RGB(pVideoRGBImageEngine, imageInfo, multiFaceInfo, out retCode_Liveness);
//判断检测结果
if (retCode_Liveness == 0 && liveInfo.num > 0)
{
int isLive = MemoryUtil.PtrToStructure <int>(liveInfo.isLive);
isLiveness = (isLive == 1) ? true : false;
}
if (imageInfo != null)
{
MemoryUtil.Free(imageInfo.imgData);
}
if (isLiveness)
{
//提取人脸特征
IntPtr feature = FaceUtil.ExtractFeature(pVideoRGBImageEngine, bitmap, maxFace);
float similarity = 0f;
//得到比对结果
int result = compareFeature(feature, out similarity);
MemoryUtil.Free(feature);
if (result > -1)
{
//将比对结果放到显示消息中，用于最新显示
trackRGBUnit.message = string.Format(" {0}号 {1},{2}", result, similarity, string.Format("RGB{0}", isLiveness ? "活体" : "假体"));
}
else
{
//显示消息
trackRGBUnit.message = string.Format("RGB{0}", isLiveness ? "活体" : "假体");
}
}
else
{
//显示消息
trackRGBUnit.message = string.Format("RGB{0}", isLiveness ? "活体" : "假体");
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
finally
{
if (bitmap != null)
{
bitmap.Dispose();
}
isRGBLock = false;
}
}
else
{
lock (rectLock)
{
allRect.left = 0;
allRect.top = 0;
allRect.right = 0;
allRect.bottom = 0;
}
}
isRGBLock = false;
}));
}
}
}
/// <summary>
/// 比对函数，将每一帧抓拍的照片和身份证照片进行比对
/// </summary>
/// <param name="bitmap"></param>
/// <param name="e"></param>
/// <returns></returns>
private bool CompareImgWithIDImg(Bitmap bitmap, PaintEventArgs e)
{
recTimes--;
if (bitmap == null)
{
return(false);
}
Graphics g = e.Graphics;
float offsetX = videoSource.Width * 1f / bitmap.Width;
float offsetY = videoSource.Height * 1f / bitmap.Height;
//检测人脸，得到Rect框
ASF_MultiFaceInfo multiFaceInfo = FaceUtil.DetectFace(pVideoEngine, bitmap);
//得到最大人脸
ASF_SingleFaceInfo maxFace = FaceUtil.GetMaxFace(multiFaceInfo);
//得到Rect
MRECT rect = maxFace.faceRect;
float x = rect.left * offsetX;
float width = rect.right * offsetX - x;
float y = rect.top * offsetY;
float height = rect.bottom * offsetY - y;
//根据Rect进行画框
g.DrawRectangle(pen, x, y, width, height);
//将上一帧检测结果显示到页面上
g.DrawString(trackUnit.message, font, brush, x, y + 5);
//保证只检测一帧，防止页面卡顿以及出现其他内存被占用情况
if (isLock == false)
{
isLock = true;
//异步处理提取特征值和比对，不然页面会比较卡
ThreadPool.QueueUserWorkItem(new WaitCallback(delegate
{
if (rect.left != 0 && rect.right != 0 && rect.top != 0 && rect.bottom != 0)
{
try
{
//提取人脸特征
IntPtr feature = FaceUtil.ExtractFeature(pVideoImageEngine, bitmap, maxFace);
float similarity = CompareTwoFeatures(feature, idCardHelper.idInfo.imageFeature);
this.similarity.Text = ("相似度为: " + similarity.ToString("P"));; //显示在界面上
this.similarity.ForeColor = similarity > threshold ? Color.Green : Color.Red;
//得到比对结果
int result = (CompareTwoFeatures(feature, idCardHelper.idInfo.imageFeature) >= threshold) ? 1 : -1;
if (result > -1)
{
bool isLiveness = false;
ImageInfo imageInfo = ImageUtil.ReadBMP(bitmap); //调整图片数据
if (imageInfo == null)
{
return;
}
int retCode_Liveness = -1;
//RGB活体检测
ASF_LivenessInfo liveInfo = FaceUtil.LivenessInfo_RGB(pVideoImageEngine, imageInfo, multiFaceInfo, out retCode_Liveness);
//判断检测结果
if (retCode_Liveness == 0 && liveInfo.num > 0)
{
int isLive = MemoryUtil.PtrToStructure <int>(liveInfo.isLive);
isLiveness = (isLive == 1) ? true : false;
}
if (isLiveness)//活体检测成功
{
//存放当前人脸识别的相似度
idCardHelper.idInfo.similarity = similarity;
//记录下当前的摄像头的人脸抓拍照
idCardHelper.idInfo.capImage = bitmap;
//验证通过则不再是当前身份证，等待下一次身份证
idCardHelper.idInfo.isRight = false;
//在子线程中输出信息到messageBox
AppendText p = new AppendText(AddTextToMessBox);
lbl_msg.Invoke(p, "人脸验证成功，请取卡...\n");
pass = 1;
idCardHelper.idInfo.isPass = 1;
//将比对结果放到显示消息中，用于最新显示
trackUnit.message = string.Format("通过验证，相似度为{0}", similarity);
FileHelper.DeleteFile(m_strPath); //删除验证过的本地文件
Thread.Sleep(1000); //延时1秒
this.IDPbox.Image = defaultImage; //照片恢复默认照片
trackUnit.message = ""; //人脸识别框文字置空
setFormResultValue(true);
}
else
{
pass = 0;//标志未通过
trackUnit.message = "未通过，系统识别为照片";
AppendText p = new AppendText(AddTextToMessBox);
lbl_msg.Invoke(p, "抱歉，您未通过人脸验证...\n");
FileHelper.DeleteFile(m_strPath);//删除验证过的本地文件
}
}
else
{
pass = 0;//标志未通过
trackUnit.message = "未通过人脸验证";
AppendText p = new AppendText(AddTextToMessBox);
lbl_msg.Invoke(p, "抱歉，您未通过人脸验证...\n");
FileHelper.DeleteFile(m_strPath);//删除验证过的本地文件
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
FileHelper.DeleteFile(m_strPath);//删除验证过的本地文件
}
finally
{
isLock = false;
}
}
isLock = false;
}));
}
return(false);
}
