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Csaba Benedek: Integrated 4D vision and visualization |
In this lecture, various algorithms will be introduced for generating 4D
video flows from large dynamic scenes by integrating two different types
of data: outdoor 4D point sequences measured by a rotating LIDAR sensor,
and 4D models of moving actors obtained in a 4D studio. The aim of the
solution is to create spatio-temporal virtual city models containing
walking pedestrians, building facades, moving and parking vehicles and
other street objects. The LIDAR monitors the scene from a moving vehicle
top or a fix installed position and provides a dynamic point cloud. The
data processing modules include foreground modeling, object detection,
multiple person tracking and on-line re-identification. Then, the
system geometrically reconstructs the ground, walls and further objects
of the background scene, and texture the obtained models with photos
taken from the scene. Finally, we insert into the scene textured 4D
models of moving pedestrians which were preliminary created in a special
4D reconstruction studio. The output is a virtual scene with avatars
that follow in real time the trajectories of the pedestrians. The
obtained model may result in a significantly improved visual experience
for the observer compared to conventional video streams, since a
reconstructed 4D scene can be viewed and analyzed from an arbitrary
viewpoint, and virtually modified by the user. Further demos of the
system can be found in following url: http://web.eee.sztaki.hu/i4d/.
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