深度相机、微软kinect及其应用

USTCSummerSchoolAdvancesinComputer（计算机图形学前沿进展深度相机、微软Kinect及其应2012-6-1三维扫描技术介深度相机的原理、优势深度相机的应我们的工作三维发型扫描重建 总2DigitalDigitalEmily 3D3D(Motion,Deformation,三维扫描的应用精度速度慢、不易操The3DScanningData3DData3DPoint(Polyhedral3DPoint(BRDF,laser structured Laserscanning Multi-view

深度相机原理（TimeofDistanceDistance=time*speed/3D

当激光毛玻璃后形成随机衍射斑点，这（laserspeckle）具有高度的随机性，而且会随着距Lightcoding打出了一个具有三维纵深的“体编码，只要看物体表面的散斑图案，就可以知道这个物Time-of-flight

UpUpto54

利用单帧深度数据进行去噪( 平滑滤波、双边

Reconstructionof3DModelsusingKinectandRGBD-KinectFusion:Realtime3DReconstructionandInteractionUsingaMovingDepthTemplatebased Kinect魔 彩色声KinectforPC2012KinectSDK1.5现场测试 ？ Accurate3DPoseEstimationFromaSingleDepthImage. Fromansingleinputdepthimage,aper-pixelbodypartdistributionisinferred.Localmodesofthissignalareestimatedforthe3Dlocationsofbodyjoints.Real-TimeHumanPoseRecognitioninPartsfromSingleDepthImages.CVPR2011(best 手势交互我们的工 3DBodyScanningwithHairstyleusingoneTime-of-FlightCamera.CASAScanning3DFullHumanBodiesusingKinects.IEEEVirtualReality2012HairHairdatacapturedbyTOFoneframeofrawTOF

picturestakenwithsimilarviewsNoiseNoisecharacterofTOFground randomrandomHowHowtoreducetheoneframeofrawTOF

reducerandomnoisebytemporalreducesystematicbiasusinganother

EnergyEnergyfunctiontorefineaverageAverageAverageEnergyfunctiontobeRawdatagotfromtime-of-flight GenererateGenereratehairScanstaticobjectswithnormalcolorScanstaticobjectswithnormal modelgot[Cui,etal,CVPR

modelgotour

ScanScanfullbodywithoneScanScanbodyatcloserInterferenceInterferenc