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001 978-3-642-03778-8
003 DE-He213
005 20160624102134.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 _a9783642037788
_9978-3-642-03778-8
024 7 _a10.1007/978-3-642-03778-8
_2doi
050 4 _aT385
050 4 _aTA1637-1638
050 4 _aTK7882.P3
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
245 1 0 _aDynamic 3D Imaging
_h[electronic resource] :
_bDAGM 2009 Workshop, Dyn3D 2009, Jena, Germany, September 9, 2009. Proceedings /
_cedited by Andreas Kolb, Reinhard Koch.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
300 _aX, 177 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5742
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aComputer vision.
650 0 _aComputer graphics.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aComputer Graphics.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aPattern Recognition.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aKolb, Andreas.
_eeditor.
700 1 _aKoch, Reinhard.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642037771
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5742
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-03778-8
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_cEBK
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