标签：style blog http color io os 使用 ar strong
两个参考地址：
我使用的是unity3D 4.X，kinect SDK为1.7，Kinect1.7UnityPackage.unitypackage（插件包）
为使用模型控制器，请按照以下步骤：
关于工作内容介绍
主要两大块：1.人物模型骨架的控制；2.图像数据流的显示
在这之前需要完成准备工作,安装好kinectSDK，导入插件到unity。在整个项目运行之前，会运行kinect，检测安装信息，未安装或未连接都有提示
1.先介绍人物骨架控制
1）导入预制体，它包含了所有的你的世界所需要的脚本开始使用Kinect的空节点-这还不包括控制器，那需要使用实际控制您的机型
2）导入含有骨架信息的3D模型
3）在unity中将AvatarController中人物骨架与变量的申明对应起来
如果拓展到平面的摄像头体感的话，只有二维数组。
2.图像数据流的显示
1）一共显示两个，一个是彩色图，一个是深度图。直接从体感数据流中读取。
2）抠图的话，要在每一帧中计算图像阵列
void UpdateUserMap() { int numOfPoints = 0; Array.Clear(usersHistogramMap, 0, usersHistogramMap.Length); // Calculate cumulative histogram for depth 计算深度累积直方图 for (int i = 0; i < usersMapSize; i++) { // Only calculate for depth that contains users 只计算深度，包含用户 if ((usersDepthMap[i] & 7) != 0) { usersHistogramMap[usersDepthMap[i] >> 3]++; numOfPoints++; } } if (numOfPoints > 0) { for (int i = 1; i < usersHistogramMap.Length; i++) { usersHistogramMap[i] += usersHistogramMap[i - 1]; } for (int i = 0; i < usersHistogramMap.Length; i++) { usersHistogramMap[i] = 1.0f - (usersHistogramMap[i] / numOfPoints); } } // dummy structure needed by the coordinate mapper KinectWrapper.NuiImageViewArea pcViewArea = new KinectWrapper.NuiImageViewArea { eDigitalZoom = 0, lCenterX = 0, lCenterY = 0 }; // Create the actual users texture based on label map and depth histogram Color32 clrClear = Color.clear; for (int i = 0; i < usersMapSize; i++) { // Flip the texture as we convert label map to color array int flipIndex = i; // usersMapSize - i - 1; ushort userMap = (ushort)(usersDepthMap[i] & 7); ushort userDepth = (ushort)(usersDepthMap[i] >> 3); ushort nowUserPixel = userMap != 0 ? (ushort)((userMap << 13) | userDepth) : userDepth; ushort wasUserPixel = usersPrevState[flipIndex]; //test //ushort userMap = (ushort)(usersColorMap[i] & 7); //ushort userColor = (ushort)(usersColorMap[i] >> 3); //ushort nowUserPixel = userMap != 0 ? (ushort)((userMap << 13) | userColor) : userColor; //ushort wasUserPixel = usersPrevState[flipIndex]; // draw only the changed pixels if(nowUserPixel != wasUserPixel) { usersPrevState[flipIndex] = nowUserPixel; if (userMap == 0) { usersMapColors[flipIndex] = clrClear; } else { if(colorImage != null) { int x = i / KinectWrapper.Constants.ImageWidth; int y = i % KinectWrapper.Constants.ImageWidth; int cx, cy; int hr = KinectWrapper.NuiImageGetColorPixelCoordinatesFromDepthPixelAtResolution( KinectWrapper.Constants.ImageResolution, KinectWrapper.Constants.ImageResolution, ref pcViewArea, x, y, usersColorMap[i] /*usersDepthMap[i]*/, out cx, out cy); //colorStreamHandle,ref usersColorMap[i],ref colorImage if(hr==0) { int colorIndex = cx + cy * KinectWrapper.Constants.ImageWidth; //this.usersHistogramMap[colorIndex] = -1; //this.usersHistogramMap[colorIndex-1] = -1; colorIndex = usersMapSize - colorIndex - 1; //colorIndex=287649; //0-300000 //colorIndex=200000+1600*Convert.ToInt32(DateTime.Now.Second.ToString()); float histDepth = usersHistogramMap[colorIndex]; colorIndex = Convert.ToInt32(histDepth); if(colorIndex >= 0 && colorIndex < usersMapSize) { Color32 colorPixel = colorImage[colorIndex];//colorIndex usersMapColors[flipIndex] = colorPixel;// new Color(colorPixel.r / 256f, colorPixel.g / 256f, colorPixel.b / 256f, 0.9f); //usersMapColors[flipIndex].a = 230; // 0.9f } } } else { // Create a blending color based on the depth histogram //float histDepth = usersHistogramMap[userDepth]; //Color c = new Color(histDepth, histDepth, histDepth, 0.9f); //switch(userMap % 4) //{ // case 0: // usersMapColors[flipIndex] = Color.red * c; // break; // case 1: // usersMapColors[flipIndex] = Color.green * c; // break; // case 2: // usersMapColors[flipIndex] = Color.blue * c; // break; // case 3: // usersMapColors[flipIndex] = Color.magenta * c; // break; //} } } } } // Draw it! usersLblTex.SetPixels32(usersMapColors); if(!DisplaySkeletonLines) { usersLblTex.Apply(); } }
关于图像处理，分享
标签：style blog http color io os 使用 ar strong
原文地址：http://www.cnblogs.com/bkycjj/p/3939096.html
