我需要帮助 C# 和 Emgu cv

我正在使用EmguCv和c#开发一个简单的人脸识别应用程序。 我正在使用 MS 访问数据来存储示例数据库。 每当编译代码时，我都会收到错误"OpenCV：不同大小的对象" 这是我的代码....提前谢谢。

public partial class Facerecognition : Form
{
    EigenObjectRecognizer Recognizer;
    private Capture cam;
    Image<Bgr, Byte> frame;
    Image<Gray, Byte> frame2;
    private HaarCascade Haar;
    MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
    OleDbConnection Connection = new OleDbConnection();
    OleDbDataAdapter Adapter;
    DataTable Table = new DataTable();
    List<string> FaceName = new List<string>();
    List<Image<Gray, byte>> FaceImg = new List<Image<Gray, byte>>();
    int ConTrain;
    string name;
    Image result;
    public Facerecognition()
    {
        InitializeComponent();
        Haar = new HaarCascade("haarcascade_frontalface_default.xml");
        ConnectDatabase();
    }
    private void button3_Click(object sender, EventArgs e)
    {
        Traningset t = new Traningset();
        t.Show();
    }
    public void Process(object sender, EventArgs e)
    {
        frame = cam.QueryFrame();
        LoadRecognizer();
        pictureBox1.Image = frame.ToBitmap();
        pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
    }
    private void button2_Click(object sender, EventArgs e)
    {
        cam = new Capture();
        Application.Idle += Process;
    }
    /*public void FaceDetection()
    {
        frame2 = frame.Convert<Gray, Byte>();
        var faces = frame.DetectHaarCascade(Haar, 1.2, 3, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(25, 25))[0];
        foreach (var face in faces)
        {
            frame.Draw(face.rect, new Bgr(Color.Black), 3);
            // MessageBox.Show("Face detected " + faces.Length.ToString());
        }
    }*/
    public void ConnectDatabase()
    {
        Connection.ConnectionString = @"Provider=Microsoft.Jet.OLEDB.4.0;Data Source=facedatabase.mdb.mdb";
        Adapter = new OleDbDataAdapter("Select facename, faceimg from traningset", Connection);
        OleDbCommandBuilder CommandBuilder = new OleDbCommandBuilder(Adapter);
        Adapter.Fill(Table);
        Connection.Open();
        if (Table.Rows.Count != 0)
        {
            int numofrows = Table.Rows.Count;
        }
        Connection.Close();
    }
    public Image GetFaceFromDB()
    {
            Image Fetehedimg;
            byte[] fetechedimgbytes = (byte[])Table.Rows[0]["faceimg"];
            MemoryStream stream = new MemoryStream(fetechedimgbytes);
            Fetehedimg = Image.FromStream(stream);
            return Fetehedimg;
    }
    public void LoadRecognizer()
    {
        /////////////////////////////////////////////// FACE DETECTER /////////////////////////////////////////////////////
        frame2 = frame.Convert<Gray, Byte>();
        var faces = frame.DetectHaarCascade(Haar, 1.2, 3, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(25, 25))[0];
        foreach (var face in faces)
        {
            frame.Draw(face.rect, new Bgr(Color.Black), 3);
            // MessageBox.Show("Face detected " + faces.Length.ToString());
        }
        ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////
        ConnectDatabase();
        Bitmap bitimage;
        Image img;
        img = new Bitmap(100, 100);
        int numofrows=0;
        if(Table.Rows.Count!=0)
        {
             numofrows=Table.Rows.Count;
        }
        for (int i = 0; i < numofrows; i++)
        {
            byte[] fetchedBytes = (byte[])Table.Rows[i]["faceimg"];
            MemoryStream stream = new MemoryStream(fetchedBytes);
            bitimage = new Bitmap(stream);
            //bitimage = bitimage.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
            FaceImg.Add(new Emgu.CV.Image<Gray, Byte>(bitimage));
            String faceName = (String)Table.Rows[i]["facename"];
            FaceName.Add(faceName);
        }
        if (FaceImg.ToArray().Length != 0)
        {
            MCvTermCriteria termCrit = new MCvTermCriteria(4, 0.001);
            Recognizer = new EigenObjectRecognizer(
                FaceImg.ToArray(),
                FaceName.ToArray(),
                3000,
                ref termCrit);
           MessageBox.Show("face recognized");
           // frame.Draw(name, ref font, new Point(faces.rect.X - 2, faces.rect.Y - 2), new Bgr(Color.LightGreen));
        }
    }
}

}