之前的文章介绍ViewFaceCore模块的FaceAntiSpoofing类支持单帧活体检测（AntiSpoofing函数）及视频活体检测（AntiSpoofingVideo函数），视频活体检测时从摄像头中抓取一帧图片进行检测，当检测结果状态为Detecting时，继续从摄像头中抓取图片，直至检测结果不为Detecting。本文中主要测试视频活体检测函数AntiSpoofingVideo。
新建Winform项目，添加以下程序集以支持从摄像头中获取图片及人脸识别。
Hompus.VideoInputDevices
DirectShowLib.Standard
OpenCvSharp4
OpenCvSharp4.Extensions
OpenCvSharp4.runtime.win
ViewFaceCore
ViewFaceCore.all_models
ViewFaceCore.Extension.SkiaSharp
ViewFaceCore.runtime.win.x64
操作摄像头获取图片的示例详见《测试C#使用OpenCvSharp从摄像头获取图片》，调用ViewFaceCore进行视频活体检测的代码如下所示：
FaceDetector faceDetector = new FaceDetector();
FaceLandmarker faceMark = new FaceLandmarker();
FaceAntiSpoofing faceAntiSpoofing = new FaceAntiSpoofing();AntiSpoofingResult result = null;do
{m_capture.Read(m_image);if (m_image.Empty())continue;var bitmap = SKBitmap.Decode(m_image.ToBytes());var info = faceDetector.Detect(bitmap).First();var markPoints = faceMark.Mark(bitmap, info);result = faceAntiSpoofing.AntiSpoofingVideo(bitmap, info, markPoints);
}
while (result != null && result.Status== AntiSpoofingStatus.Detecting);MessageBox.Show($"活体检测，结果：{result.Status}，清晰度:{result.Clarity}，真实度：{result.Reality}");
实际测试过程中人不能移动的太快或完全静止，否则从图片中获取的人脸的清晰度或真实度较低，从而导致活体检测为Spoof（攻击人脸（假人脸））。
参考文献：
[1]https://github.com/ViewFaceCore/ViewFaceCore
[2]https://blog.csdn.net/gc_2299/article/details/131880084
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