Emgu.cv.util.cvexception: opencv: using original local binary patterns for feature extraction only works on single-channel images (given 16). Please pass the image data as a grayscale image!

Hi all, I have my face recognition project. I face this problem with EmguCv 4.4.0 in C#: when I send the recognizer type "EMGU.CV.EigenFaceRecognizer" it works normally when loading the array of images, likewise when I use "EMGU.CV.FisherFaceRecognizer" but it does not perform the prediction and always gives me 0 in the distance; when I try to do the same with the recognizer "EMGU.CV.LBPHFaceRecognizer" it throws exception. Anybody who knows how to solve it ?


<pre lang="C#">

<pre>
                    switch (Recognizer_Type)
                    {
                        case ("EMGU.CV.LBPHFaceRecognizer"):
                            recognizer = new LBPHFaceRecognizer(1, 8, 8, 8, 100);//50
                            break;
                        //case ("EMGU.CV.FisherFaceRecognizer"):
                        //    recognizer = new FisherFaceRecognizer(0, 3500);//4000
                        //    break;
                        case ("EMGU.CV.EigenFaceRecognizer"):
                        default:
                            recognizer = new EigenFaceRecognizer(80, double.PositiveInfinity);
                            break;
                    }
                    //Image<Gray, byte>[] images = trainingImages.ToArray();
                      recognizer.Train(new VectorOfMat(trainingImages.ToArray()), new VectorOfInt(Names_List_ID.ToArray()));

                    return true;
                }
                else return false;
            }
            catch (Exception ex)
            {
                
                Error = ex.ToString();
                return false;
            }

I tried to pass the array of my images as Image<Gray, byte> but it doesn't work and I keep getting exception:
<pre>Emgu.CV.Util.CvException: OpenCV: 0 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows
   en Emgu.CV.CvInvoke.CvErrorHandler(Int32 status, IntPtr funcName, IntPtr errMsg, IntPtr fileName, Int32 line, IntPtr userData)
   en Emgu.CV.Face.FaceInvoke.cveFaceRecognizerTrain(IntPtr recognizer, IntPtr images, IntPtr labels)
   en Emgu.CV.Face.FaceRecognizer.Train(IInputArray images, IInputArray labels)