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020 _a9783642037788
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024 7 _a10.1007/978-3-642-03778-8
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072 7 _aCOM016000
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082 0 4 _a006
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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.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aX, 177 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_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 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9143322
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer graphics.
_94088
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aData mining.
_93907
650 1 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Vision.
_9143323
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aData Mining and Knowledge Discovery.
_9143324
700 1 _aKolb, Andreas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9143325
700 1 _aKoch, Reinhard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9143326
710 2 _aSpringerLink (Online service)
_9143327
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642037771
776 0 8 _iPrinted edition:
_z9783642037795
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v5742
_9143328
856 4 0 _uhttps://doi.org/10.1007/978-3-642-03778-8
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