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Schlagwörter:
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Zusammenfassung:
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 using a set of multi-view video streams as inputs.
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 our 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.
