Dynamic 3D Imaging

Dynamic 3D Imaging
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动态 3D 成像

DOI:
10.1007/978-3-642-03778-8
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发表时间:
2009
期刊:
Lecture Notes in Computer Science
影响因子:
--
通讯作者:
R. Koch
R. Koch
中科院分区:
--
文献类型:
--
作者:
A. Kolb;R. Koch

文献摘要

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3D成像传感器已经研究了几十年。近年来,立体视觉和结构光等经典方法的改进,以及新的时间-?另一方面,光(ToF)技术的出现,导致了具有根本性改进的特性的3D视觉系统。目前,这些技术使全方位的3D数据在交互式帧速率,从而开辟了道路,走向更广泛的应用3D视觉系统。动态3D视觉(Dyn 3D)研讨会于2009年9月9日在耶拿与德国模式识别协会(DAGM)年度会议一起举行。本系列中以前的研讨会都集中在同一主题上,即2007年与DAGM会议一起举办的动态3D视觉研讨会和2008年的CVPR研讨会基于飞行时间相机的计算机视觉(TOF-CV)。今年的研讨会的目标,作为以前的活动,是构成一个平台,研究人员在?领域的实时距离成像,其中所有方面,从传感器评估的应用场景,都得到了解决。经过一个非常有竞争力和高质量的审查过程,13篇论文被接受发表在这个LNCS问题。动态三维视觉的研究领域非常活跃。再一次,关于这方面的研讨会?领域,许多新的见解和新的方法的时间?在这些讲习班会议记录中介绍了光传感器、重定时单维和多维数据处理以及各种应用。
3D 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, ie, 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.