?????? 這一節的內容就是把深度圖轉換為彩色圖，然后不再使用硬解碼，而是繼續采用sdk里面封裝好的功能來減少測量的誤差，以及避免轉換為灰度圖時，出現綠巨人時候的掉針的bug.

????? 下面直接貼代碼吧。

private byte[]convertDepthFrameToColorFrame2(short[] depthFrame,DepthImageStream depthSteam){byte[] depthFrame32 = new byte[depthSteam.FrameWidth * depthSteam.FrameHeight * Bgr32BytesPerPixel];//通過常量獲得有效視距，不用硬解碼（就是自己定義距離）int tooNearDepth = depthSteam.TooNearDepth;int tooFarDepth = depthSteam.TooFarDepth;int unknownDepth = depthSteam.UnknownDepth;for(int i16=0,i32=0;i16<depthFrame.Length&&i32<depthFrame32.Length;i16++,i32+=4){int player = depthFrame[i16] & DepthImageFrame.PlayerIndexBitmask;int realDepth = depthFrame[i16] >> DepthImageFrame.PlayerIndexBitmaskWidth;//通過位運算，將13位的深度圖，裁剪為8位，對于顯示足夠了。byte intensity = (byte)(~(realDepth >> 4));if(player==0&&realDepth==0){//白色depthFrame32[i32 + RedIndex] = 255;depthFrame32[i32 + GreenIndex] = 255;depthFrame32[i32 + BlueIndex] = 255;}else if(player==0&&realDepth==tooFarDepth){//深紫色depthFrame32[i32 + RedIndex] = 66;depthFrame32[i32 + GreenIndex] = 0;depthFrame32[i32 + BlueIndex] = 66;}else if (player == 0 && realDepth == unknownDepth){//深棕色depthFrame32[i32 + RedIndex] = 66;depthFrame32[i32 + GreenIndex] = 66;depthFrame32[i32 + BlueIndex] = 33;}else{depthFrame32[i32 + RedIndex] = (byte)(intensity >> IntensityShiftByPlayerR[player]);depthFrame32[i32 + GreenIndex] = (byte)(intensity >> IntensityShiftByPlayerG[player]);depthFrame32[i32 + BlueIndex] = (byte)(intensity >> IntensityShiftByPlayerB[player]);}}return depthFrame32;} void _kinect_DepthFrameReady(object sender, DepthImageFrameReadyEventArgs e){using(DepthImageFrame depthFrame = e.OpenDepthImageFrame()){if(depthFrame!=null){short[] depthPixelData = new short[depthFrame.PixelDataLength];depthFrame.CopyPixelDataTo(depthPixelData);byte[] pixels = this.convertDepthFrameToColorFrame2(depthPixelData, ((KinectSensor)sender).DepthStream);int stride = depthFrame.Width * 4;imageDepth.Source = BitmapSource.Create(depthFrame.Width, depthFrame.Height, 96, 96, PixelFormats.Bgr32, null, pixels, stride);}}}

再附上效果圖

總結

以上是生活随笔為你收集整理的Kinect学习笔记（五）——更专业的深度图的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。