Using the Microsoft Kinect SDK to model 3D polylines inside AutoCAD

After using the Microsoft Kinect SDK to bring point clouds into AutoCAD and then to track skeleton information, I’m happy to report that I now have an equivalent implementation of this previous post, where we used OpenNI and NITE to understand gestures captured by the Kinect and draw 3D polylines inside AutoCAD.
This implementation is a bit different from the last, mainly in that – given the additional calculation needed to map points into “skeleton space” when building out point cloud – I no longer transform all the points and then select a sampling. This implementation passes a sampling value into the function generating the point cloud, so we reduce the number of calls by a significant factor (in our case we take one point from every fifty). And the consequential performance gain is significant. :-)
Here’s the updated C# code:
using Autodesk.AutoCAD.ApplicationServices;
using Autodesk.AutoCAD.DatabaseServices;
using Autodesk.AutoCAD.EditorInput;
using Autodesk.AutoCAD.Geometry;
using Autodesk.AutoCAD.Runtime;
using AcGi = Autodesk.AutoCAD.GraphicsInterface;
using System.Collections.Generic;
using System.Diagnostics;
using System.Reflection;
using System.IO;
using System;
using Microsoft.Research.Kinect.Nui;
 
namespace KinectIntegration
{
  // Our own class duplicating the one implemented by nKinect
  // to aid with porting
 
  public class ColorVector3
  {
    public double X, Y, Z;
    public int R, G, B;
  }
 
  public class KinectJig : DrawJig
  {
    // A transaction and database to add polylines
 
    private Transaction _tr;
    private Document _doc;
 
    // We need our Kinect sensor
 
    private Runtime _kinect = null;
 
    // With the images collected by it
 
    private ImageFrame _depth = null;
    private ImageFrame _video = null;
 
    // A list of points captured by the sensor
    // (for eventual export)
 
    private List<ColorVector3> _vecs;
 
    // A list of points to be displayed
    // (we use this for the jig)
 
    private Point3dCollection _points;
 
    // An offset value we use to move the mouse back
    // and forth by one screen unit
 
    private int _offset;
 
    public KinectJig(Document doc, Transaction tr)
    {
      // Initialise the various members
 
      _doc = doc;
      _tr = tr;
      _points = new Point3dCollection();
      _offset = 1;
 
      // Create our sensor object - the constructor takes
      // three callbacks to receive various data:
      // - skeleton movement
      // - rgb data
      // - depth data
 
      _kinect = new Runtime();
 
      _kinect.VideoFrameReady +=
        new EventHandler<ImageFrameReadyEventArgs>(
          OnVideoFrameReady
        );
      _kinect.DepthFrameReady +=
        new EventHandler<ImageFrameReadyEventArgs>(
          OnDepthFrameReady
        );
    }
 
    void OnDepthFrameReady(
      object sender, ImageFrameReadyEventArgs e
    )
    {
      _depth = e.ImageFrame;
    }
 
    void OnVideoFrameReady(
      object sender, ImageFrameReadyEventArgs e
    )
    {
      _video = e.ImageFrame;
    }
 
    public void StartSensor()
    {
      if (_kinect != null)
      {
        // We still need to enable skeletal tracking
        // in order to map to "real" space, even
        // if we're not actually getting skeleton data
 
        _kinect.Initialize(
          RuntimeOptions.UseDepth |
          RuntimeOptions.UseColor |
          RuntimeOptions.UseSkeletalTracking
        );
        _kinect.VideoStream.Open(
          ImageStreamType.Video, 2,
          ImageResolution.Resolution640x480,
          ImageType.Color
        );
        _kinect.DepthStream.Open(
          ImageStreamType.Depth, 2,
          ImageResolution.Resolution640x480,
          ImageType.Depth
        );
      }
    }
 
    public void StopSensor()
    {
      if (_kinect != null)
      {
        _kinect.Uninitialize();
        _kinect = null;
      }
    }
 
    public void UpdatePointCloud()
    {
      _vecs = GeneratePointCloud(true);
    }
 
    private List<ColorVector3> GeneratePointCloud(
      bool withColor = false
    )
    {
      // We will return a list of our ColorVector3 objects
 
      List<ColorVector3> res = new List<ColorVector3>();
 
      // Let's start by determining the dimensions of the
      // respective images
 
      int depHeight = _depth.Image.Height;
      int depWidth = _depth.Image.Width;
      int vidHeight = _video.Image.Height;
      int vidWidth = _video.Image.Width;
 
      // For the sake of this initial implementation, we
      // expect them to be the same size. But this should not
      // actually need to be a requirement
 
      if (vidHeight != depHeight || vidWidth != depWidth)
      {
        Application.DocumentManager.MdiActiveDocument.
        Editor.WriteMessage(
          "\nVideo and depth images are of different sizes."
        );
        return null;
      }
 
      // Depth and color data for each pixel
 
      Byte[] depthData = _depth.Image.Bits;
      Byte[] colorData = _video.Image.Bits;
 
      // Loop through the depth information - we process two
      // bytes at a time
 
      for (int i = 0; i < depthData.Length; i += 2)
      {
        // The depth pixel is two bytes long - we shift the
        // upper byte by 8 bits (a byte) and "or" it with the
        // lower byte
 
        int depthPixel = (depthData[i + 1] << 8) | depthData[i];
 
        // The x and y positions can be calculated using modulus
        // division from the array index
 
        int x = (i / 2) % depWidth;
        int y = (i / 2) / depWidth;
 
        // The x and y we pass into DepthImageToSkeleton() need to
        // be normalised (between 0 and 1), so we divide by the
        // width and height of the depth image, respectively
 
        // As we're using UseDepth (not UseDepthAndPlayerIndex) in
        // the depth sensor settings, we also need to shift the
        // depth pixel by 3 bits
 
        Vector v =
          _kinect.SkeletonEngine.DepthImageToSkeleton(
            ((float)x) / ((float)depWidth),
            ((float)y) / ((float)depHeight),
            (short)(depthPixel << 3)
          );
 
        // A zero value for Z means there is no usable depth for
        // that pixel
 
        if (v.Z > 0)
        {
          // Create a ColorVector3 to store our XYZ and RGB info
          // for a pixel
 
          ColorVector3 cv = new ColorVector3();
          cv.X = v.X;
          cv.Y = v.Z;
          cv.Z = v.Y;
 
          // Only calculate the colour when it's needed (as it's
          // now more expensive, albeit more accurate)
 
          if (withColor)
          {
            // Get the colour indices for that particular depth
            // pixel. We once again need to shift the depth pixel
            // and also need to flip the x value (as UseDepth means
            // it is mirrored on X) and do so on the basis of
            // 320x240 resolution (so we divide by 2, assuming
            // 640x480 is chosen earlier), as that's what this
            // function expects. Phew!
 
            int colorX, colorY;
            _kinect.NuiCamera.
              GetColorPixelCoordinatesFromDepthPixel(
                _video.Resolution, _video.ViewArea,
                320 - (x/2), (y/2), (short)(depthPixel << 3),
                out colorX, out colorY
              );
 
            // Make sure both indices are within bounds
 
            colorX = Math.Max(0, Math.Min(vidWidth - 1, colorX));
            colorY = Math.Max(0, Math.Min(vidHeight - 1, colorY));
 
            // Extract the RGB data from the appropriate place
            // in the colour data
 
            int colIndex = 4 * (colorX + (colorY * vidWidth));
            cv.B = (byte)(colorData[colIndex + 0]);
            cv.G = (byte)(colorData[colIndex + 1]);
            cv.R = (byte)(colorData[colIndex + 2]);
          }
          else
          {
            // If we don't need colour information, just set each
            // pixel to white
 
            cv.B = 255;
            cv.G = 255;
            cv.R = 255;
          }
 
          // Add our pixel data to the list to return
 
          res.Add(cv);
        }
      }
      return res;
    }
 
    protected override SamplerStatus Sampler(JigPrompts prompts)
    {
      // We don't really need a point, but we do need some
      // user input event to allow us to loop, processing
      // for the Kinect input
 
      PromptPointResult ppr =
        prompts.AcquirePoint("\nClick to capture: ");
      if (ppr.Status == PromptStatus.OK)
      {
        // Generate a point cloud
 
        try
        {
          if (_depth != null && _video != null)
          {
            _vecs = GeneratePointCloud();
 
            // Extract the points for display in the jig
            // (note we only take 1 in 5)
 
            _points.Clear();
 
            for (int i = 0; i < _vecs.Count; i += 20)
            {
              ColorVector3 vec = _vecs[i];
              _points.Add(
                new Point3d(vec.X, vec.Y, vec.Z)
              );
            }
 
            // Let's move the mouse slightly to avoid having
            // to do it manually to keep the input coming
 
            System.Drawing.Point pt =
              System.Windows.Forms.Cursor.Position;
            System.Windows.Forms.Cursor.Position =
              new System.Drawing.Point(
                pt.X, pt.Y + _offset
              );
            _offset = -_offset;
          }
        }
        catch {}
 
        return SamplerStatus.OK;
      }
      return SamplerStatus.Cancel;
    }
 
    protected override bool WorldDraw(AcGi.WorldDraw draw)
    {
      // This simply draws our points
 
      draw.Geometry.Polypoint(_points, null, null);
 
      return true;
    }
 
    public void ExportPointCloud(string filename)
    {
      if (_vecs.Count > 0)
      {
        using (StreamWriter sw = new StreamWriter(filename))
        {
          // For each pixel, write a line to the text file:
          // X, Y, Z, R, G, B
 
          foreach (ColorVector3 pt in _vecs)
          {
            sw.WriteLine(
              "{0}, {1}, {2}, {3}, {4}, {5}",
              pt.X, pt.Y, pt.Z, pt.R, pt.G, pt.B
            );
          }
        }
      }
    }
  }
 
  public class Commands
  {
    [CommandMethod("ADNPLUGINS", "KINECT", CommandFlags.Modal)]
    public void ImportFromKinect()
    {
      Document doc =
        Autodesk.AutoCAD.ApplicationServices.
          Application.DocumentManager.MdiActiveDocument;
      Editor ed = doc.Editor;
 
      Transaction tr =
        doc.TransactionManager.StartTransaction();
 
      KinectJig kj = new KinectJig(doc, tr);
      try
      {
        kj.StartSensor();
      }
      catch (System.Exception ex)
      {
        ed.WriteMessage(
          "\nUnable to start Kinect sensor: " + ex.Message
        );
        tr.Dispose();
        return;
      }
 
      PromptResult pr = ed.Drag(kj);
 
      if (pr.Status != PromptStatus.OK)
      {
        kj.StopSensor();
        tr.Dispose();
        return;
      }
 
      // Generate a final point cloud with color before stopping
      // the sensor
 
      kj.UpdatePointCloud();
      kj.StopSensor();
 
      tr.Commit();
 
      // Manually dispose to avoid scoping issues with
      // other variables
 
      tr.Dispose();
 
      // We'll store most local files in the temp folder.
      // We get a temp filename, delete the file and
      // use the name for our folder
 
      string localPath = Path.GetTempFileName();
      File.Delete(localPath);
      Directory.CreateDirectory(localPath);
      localPath += "\\";
 
      // Paths for our temporary files
 
      string txtPath = localPath + "points.txt";
      string lasPath = localPath + "points.las";
 
      // Our PCG file will be stored under My Documents
 
      string outputPath =
        Environment.GetFolderPath(
          Environment.SpecialFolder.MyDocuments
        ) + "\\Kinect Point Clouds\\";
 
      if (!Directory.Exists(outputPath))
        Directory.CreateDirectory(outputPath);
 
      // We'll use the title as a base filename for the PCG,
      // but will use an incremented integer to get an unused
      // filename
 
      int cnt = 0;
      string pcgPath;
      do
      {
        pcgPath =
          outputPath + "Kinect" +
          (cnt == 0 ? "" : cnt.ToString()) + ".pcg";
        cnt++;
      }
      while (File.Exists(pcgPath));
 
      // The path to the txt2las tool will be the same as the
      // executing assembly (our DLL)
 
      string exePath =
        Path.GetDirectoryName(
          Assembly.GetExecutingAssembly().Location
        ) + "\\";
 
      if (!File.Exists(exePath + "txt2las.exe"))
      {
        ed.WriteMessage(
          "\nCould not find the txt2las tool: please make sure " +
          "it is in the same folder as the application DLL."
        );
        return;
      }
 
      // Export our point cloud from the jig
 
      ed.WriteMessage(
        "\nSaving TXT file of the captured points.\n"
      );
 
      kj.ExportPointCloud(txtPath);
 
      // Use the txt2las utility to create a .LAS
      // file from our text file
 
      ed.WriteMessage(
        "\nCreating a LAS from the TXT file.\n"
      );
 
      ProcessStartInfo psi =
        new ProcessStartInfo(
          exePath + "txt2las",
          "-i \"" + txtPath +
          "\" -o \"" + lasPath +
          "\" -parse xyzRGB"
        );
      psi.CreateNoWindow = false;
      psi.WindowStyle = ProcessWindowStyle.Hidden;
 
      // Wait up to 20 seconds for the process to exit
 
      try
      {
        using (Process p = Process.Start(psi))
        {
          p.WaitForExit();
        }
      }
      catch
      { }
 
      // If there's a problem, we return
 
      if (!File.Exists(lasPath))
      {
        ed.WriteMessage(
          "\nError creating LAS file."
        );
        return;
      }
 
      File.Delete(txtPath);
 
      ed.WriteMessage(
        "Indexing the LAS and attaching the PCG.\n"
      );
 
      // Index the .LAS file, creating a .PCG
 
      string lasLisp = lasPath.Replace('\\', '/'),
              pcgLisp = pcgPath.Replace('\\', '/');
 
      doc.SendStringToExecute(
        "(command \"_.POINTCLOUDINDEX\" \"" +
          lasLisp + "\" \"" +
          pcgLisp + "\")(princ) ",
        false, false, false
      );
 
      // Attach the .PCG file
 
      doc.SendStringToExecute(
        "_.WAITFORFILE \"" +
        pcgLisp + "\" \"" +
        lasLisp + "\" " +
        "(command \"_.-POINTCLOUDATTACH\" \"" +
        pcgLisp +
        "\" \"0,0\" \"1\" \"0\")(princ) ",
        false, false, false
      );
 
      doc.SendStringToExecute(
        "_.-VISUALSTYLES _C _Conceptual ",
        false, false, false
      );
 
      //Cleanup();
    }
 
    // Return whether a file is accessible
 
    private bool IsFileAccessible(string filename)
    {
      // If the file can be opened for exclusive access it means
      // the file is accesible
      try
      {
        FileStream fs =
          File.Open(
            filename, FileMode.Open,
            FileAccess.Read, FileShare.None
          );
        using (fs)
        {
          return true;
        }
      }
      catch (IOException)
      {
        return false;
      }
    }
 
    // A command which waits for a particular PCG file to exist
 
    [CommandMethod(
      "ADNPLUGINS", "WAITFORFILE", CommandFlags.NoHistory
     )]
    public void WaitForFileToExist()
    {
      Document doc =
        Application.DocumentManager.MdiActiveDocument;
      Editor ed = doc.Editor;
      HostApplicationServices ha =
        HostApplicationServices.Current;
 
      PromptResult pr = ed.GetString("Enter path to PCG: ");
      if (pr.Status != PromptStatus.OK)
        return;
      string pcgPath = pr.StringResult.Replace('/', '\\');
 
      pr = ed.GetString("Enter path to LAS: ");
      if (pr.Status != PromptStatus.OK)
        return;
      string lasPath = pr.StringResult.Replace('/', '\\');
 
      ed.WriteMessage(
        "\nWaiting for PCG creation to complete...\n"
      );
 
      // Check the write time for the PCG file...
      // if it hasn't been written to for at least half a second,
      // then we try to use a file lock to see whether the file
      // is accessible or not
 
      const int ticks = 50;
      TimeSpan diff;
      bool cancelled = false;
 
      // First loop is to see when writing has stopped
      // (better than always throwing exceptions)
 
      while (true)
      {
        if (File.Exists(pcgPath))
        {
          DateTime dt = File.GetLastWriteTime(pcgPath);
          diff = DateTime.Now - dt;
          if (diff.Ticks > ticks)
            break;
        }
        System.Windows.Forms.Application.DoEvents();
        if (HostApplicationServices.Current.UserBreak())
        {
          cancelled = true;
          break;
        }
      }
 
      // Second loop will wait until file is finally accessible
      // (by calling a function that requests an exclusive lock)
 
      if (!cancelled)
      {
        int inacc = 0;
        while (true)
        {
          if (IsFileAccessible(pcgPath))
            break;
          else
            inacc++;
          System.Windows.Forms.Application.DoEvents();
          if (HostApplicationServices.Current.UserBreak())
          {
            cancelled = true;
            break;
          }
        }
        ed.WriteMessage("\nFile inaccessible {0} times.", inacc);
 
        try
        {
          CleanupTmpFiles(lasPath);
        }
        catch
        { }
      }
    }
 
    internal void CleanupTmpFiles(string txtPath)
    {
      if (File.Exists(txtPath))
        File.Delete(txtPath);
      Directory.Delete(
        Path.GetDirectoryName(txtPath)
      );
    }
  }
}
Here’s the KINECT command in action, with me – once again – drawing my name. You’ll notice the sparse number of points being jigged, but this actually helps keep the the jig extremely responsive (it feels more usable at this density).
And here’s the resultant point cloud, once I’ve put my hands together to terminate the command and process a full, colourised version of the point cloud: