Dynamic 3D Imaging

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3D imaging sensors have been the focus of research for decades, with recent advancements in classical methods like stereo vision and structured light, alongside innovative time-of-flight (ToF) techniques, leading to significantly enhanced 3D vision systems. These advancements now provide full-range 3D data at interactive frame rates, broadening the scope of applications for 3D vision systems. The Dynamic 3D Vision (Dyn3D) workshop took place on September 9, 2009, in Jena, alongside the annual conference of the German Association of Pattern Recognition (DAGM). This workshop continued the focus of previous events, including the 2007 Dyn3D workshop and the 2008 CVPR workshop on ToF camera-based computer vision. The aim was to create a platform for researchers in real-time range imaging, addressing all aspects from sensor evaluation to application scenarios. Following a rigorous review process, 13 papers were accepted for publication in this LNCS issue. The dynamic 3D vision research area demonstrated remarkable vitality, showcasing numerous new insights and innovative approaches related to time-of-flight sensors, real-time data processing, and various applications within the workshop proceedings.