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Abstract:
In recent years, the convergence of Computer Vision and Computer Graphics has put forth
new research areas that work on scene reconstruction from and analysis of multi-view video
footage. In free-viewpoint video, for example, new views of a scene are generated from an arbitrary viewpoint
in real-time from a set of real multi-view input video streams.
The analysis of real-world scenes from multi-view video
to extract motion information or reflection models is another field of research that
greatly benefits from high-quality input data.
Building a recording setup for multi-view video involves a great effort on the hardware
as well as the software side. The amount of image data to be processed is huge,
a decent lighting and camera setup is essential for a naturalistic scene appearance and
robust background subtraction, and the computing infrastructure has to enable
real-time processing of the recorded material.
This paper describes the recording setup for multi-view video acquisition that enables the
synchronized recording
of dynamic scenes from multiple camera positions under controlled conditions. The requirements
to the room and their implementation in the separate components of the studio are described in detail.
The efficiency and flexibility of the room is demonstrated on the basis of the results
that we obtain with a real-time 3D scene reconstruction system, a system for non-intrusive optical
motion capture and a model-based free-viewpoint video system for human actors.
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