| Abstract |
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In this work, we present an adaptive space carving
method for scene reconstruction from a set of images obtained
from low cost calibrated webcams. Our method uses
a combination of silhouette and photometric information to
efficiently carve the shape of the observed scene out of a
volumetric space represented by an octree data structure. In
this method different resolutions are considered both in object
space and in image space. This led us to adopt a strategy
in which the information used by the photo-consistency
test is registered in scene space by projective texture mapping.
Another important question addressed in this work is
the high level of noise present in low cost webcams. To deal
with this problem we devised a statistical photo-consistency
test that uses statistical estimators for the noise introduced
by the sensors of the cameras.
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 Additional Information
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Citation:
Anselmo Antunes Montenegro, Paulo Cezar Pinto Carvalho, Marcelo Gattass, Luiz Carlos Pacheco Rodrigues Velho,
"Adaptive Space Carving,"
3dpvt,
pp. 199-206,
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04),
2004
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