3DTV: 3D Time-varying Scene Capture Technologies -- A Survey (original) (raw)
Advances in image sensors and evolution of digital computation is a strong stimulus for development and implementation of sophisticated methods for capturing, processing and analysis of 3D data from dynamic scenes. Research on perspective time-varying 3D scene capture technologies is important for the upcoming 3DTV displays. Methods such as shape-from-texture, shape-from-shading, shape-from-focus and shape-from-motion extraction can restore 3D shape information from a single camera data. The existing techniques for 3D extraction from single camera video sequences are especially useful for conversion of the already available vast mono-view content to the 3DTV systems. Scene-oriented single camera methods as human face reconstruction and facial motion analysis, body modeling and body motion tracking and motion recognition solve efficiently a variety of tasks. Intensive area of research is 3D multicamera dynamic acquisition and reconstruction with its hardware specifics as calibration ...
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