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 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.
