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我正在尝试开发一个统一的尺寸应用程序，它将决定您的尺寸，无论您是小号、中号、大号还是超大号。用户将站在距相机固定距离的地方，系统将捕获用户的全身图像，系统将从该图像中获得所需的测量值。我的问题是检测测量系统为所有用户检测到相同的测量值，即使他们的尺寸彼此相距很远。如何使检测更准确？

这是我的代码：

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.Util;

namespace fitting
{
    public partial class Form1 : Form
    {
        HaarCascade UpperBody = new HaarCascade("haarcascade_mcs_upperbody.xml");
        HaarCascade LowerBody = new HaarCascade("haarcascade_lowerbody.xml");

        Capture camera;
        bool captureProcess = false;
        Image<Bgr, Byte> img;

        public Form1()
        {
            InitializeComponent();
        }

        void viewImage(object sender, EventArgs e)
        {
            img = camera.QueryFrame();
            if (img == null)
                return;
            CamImageBox.Image = img;
        }

        private void btnCapture_Click(object sender, EventArgs e)
        {
            if (captureProcess == true)
            {
                string data;

                Application.Idle -= viewImage;
                captureProcess = false;
                SaveFileDialog dlg = new SaveFileDialog();
                if (dlg.ShowDialog() == DialogResult.OK)
                {
                    img.ToBitmap().Save(dlg.FileName + ".jpg", System.Drawing.Imaging.ImageFormat.Png);
                    data = dlg.FileName + ".jpg";
                }
                measureImage();
            }
        }

        void measureImage()
        {
            OpenFileDialog dlg2 = new OpenFileDialog();
            dlg2.Filter = "Image|*.jpg;*png";
            if (dlg2.ShowDialog() == DialogResult.OK)
            {
                Image<Bgr, Byte> frame = new Image<Bgr, byte>(dlg2.FileName);
                Image<Gray, Byte> Gray_Frame = frame.Convert<Gray, Byte>();


/////////////////////////LOWER BODY DETECTION////////////////////////////////
                MCvAvgComp[][] LowerBodyDetect = Gray_Frame.DetectHaarCascade(
                    LowerBody,
                    1.985603925968,
                    0,
                    Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
                    new Size());

///////////////////HERE IS THE UPPER BODY DETECTION/////////////////////////

                MCvAvgComp[][] UpperBodyDetect = Gray_Frame.DetectHaarCascade(
                    UpperBody,
                    1.3,
                    5,
                    Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
                    new Size());


/////////////////////////DRAWING OF RECTANGLE ON DETECTED UPPER BODY///////////////////
                try
                {
                    frame.Draw(UpperBodyDetect[0][0].rect, new Bgr(Color.Red), 2);
                    double width = (UpperBodyDetect[0][0].rect.Width);
                    textBox1.Text = (Convert.ToString(width));
                }
                catch (Exception e)
                {
                    MessageBox.Show(e.Message);
                }
///////////////////////DRAWING OF RECTANGLE ON DETECTED LOWER BODY///////////////////
                try
                {
                    frame.Draw(LowerBodyDetect[0][0].rect, new Bgr(Color.Green), 2);
                }
                catch (Exception e)
                {
                    MessageBox.Show(e.Message);
                }
                CamImageBox.Image = frame;
            }
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            bool useCam = false;

            if (!useCam)
                measureImage();
            else {
                try
                {
                    camera = new Capture();
                }
                catch (Exception exc)
                {
                    MessageBox.Show(exc.Message);
                    return;
                }
                Application.Idle += viewImage;
                captureProcess = true;
            }
        }
    }
}
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