LEADER 00956oam 2200253z- 450 001 9910694081003321 005 20161209105501.0 035 $a(CKB)5470000000935389 035 $a(WsH)cbhfdsohennmbn 035 $a(BIP)013643677 035 $a(EXLCZ)995470000000935389 100 $a20211006c2005uuuu -u- - 101 0 $aeng 200 14$aThe Board of Veterans' Appeals and Appeals Management Center $ehearing before the Committee on Veterans' Affairs, House of Representatives, Subcommittee on Disability Assistance and Memorial Affairs, One Hundred Ninth Congress, first session, May 5, 2005 215 $a1 online resource (iii, 109 p.) 311 $a0-16-075390-2 517 $aBoard of Veterans' Appeals and Appeals Management Center 610 $aVeterans 610 $aLaw 610 $aHistory 906 $aBOOK 912 $a9910694081003321 996 $aThe Board of Veterans' Appeals and Appeals Management Center$93115488 997 $aUNINA LEADER 05526nam 22008415 450 001 9910483256403321 005 20251226195905.0 010 $a3-642-03778-X 024 7 $a10.1007/978-3-642-03778-8 035 $a(CKB)1000000000798301 035 $a(SSID)ssj0000317296 035 $a(PQKBManifestationID)11231248 035 $a(PQKBTitleCode)TC0000317296 035 $a(PQKBWorkID)10292889 035 $a(PQKB)11112279 035 $a(DE-He213)978-3-642-03778-8 035 $a(MiAaPQ)EBC3064524 035 $a(PPN)13995516X 035 $a(EXLCZ)991000000000798301 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDynamic 3D Imaging $eDAGM 2009 Workshop, Dyn3D 2009, Jena, Germany, September 9, 2009, Proceedings /$fedited by Andreas Kolb, Reinhard Koch 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 177 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v5742 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-03777-1 320 $aIncludes bibliographical references and index. 327 $aFundamentals of ToF-Sensors -- A Physical Model of Time-of-Flight 3D Imaging Systems, Including Suppression of Ambient Light -- Compensation of Motion Artifacts for Time-of-Flight Cameras -- Radiometric and Spectrometric Calibrations, and Distance Noise Measurement of ToF Cameras -- Algorithms and Data Fusion -- Datastructures for Capturing Dynamic Scenes with a Time-of-Flight Camera -- Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking -- Depth Imaging by Combining Time-of-Flight and On-Demand Stereo -- Realistic Depth Blur for Images with Range Data -- Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features -- Shadow Detection in Dynamic Scenes Using Dense Stereo Information and an Outdoor Illumination Model -- Applications of Dynamic 3D Scene Analysis -- MixIn3D: 3D Mixed Reality with ToF-Camera -- Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera -- Analysis of Gait Using a Treadmill and a Time-of-Flight Camera -- Face Detection Using a Time-of-Flight Camera. 330 $a3D imaging sensors have been investigated for several decades. Recently, - provements on classical approaches such as stereo vision and structured light on the one hand, and novel time-of-?ight (ToF) techniques on the other hand have emerged, leading to 3D vision systems with radically improvedcharacter- tics. Presently, these techniques make full-range 3D data available at interactive frame rates, and thus open the path toward a much broader application of 3D vision systems. The workshop on Dynamic 3D Vision (Dyn3D) was held in conjunction with the annual conference of the German Association of Pattern Recognition (DAGM) in Jena on September 9, 2009. Previous workshops in this series have focused on the same topic, i.e., the Dynamic 3D Vision workshopin conjunction with the DAGM conference in 2007 and the CVPR workshop Time of Flight Camera-Based Computer Vision (TOF-CV) in 2008. The goal of this year?s workshop, as for the prior events, was to constitute a platform for researchers working in the ?eld of real-time range imaging, where all aspects, from sensor evaluation to application scenarios, are addressed. After a very competitive and high-quality reviewing process, 13 papers were accepted for publication in this LNCS issue. The research area on dynamic 3D vision proved to be extremely lively. Again, as for prior workshops on this ?eld, numerous new insights and novel approaches on time-of-?ight sensors, on re- time mono- and multidimensional data processing and on various applications are presented in these workshop proceedings. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v5742 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aPattern recognition systems 606 $aComputer graphics 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aComputer Graphics 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aComputer graphics. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Graphics. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 676 $a621.36/7 686 $aDAT 757f$2stub 686 $aDAT 758f$2stub 686 $aSS 4800$2rvk 701 $aKolb$b Andreas$01754274 701 $aKoch$b Reinhard$01754275 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483256403321 996 $aDynamic 3d imaging$94190520 997 $aUNINA