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synthesis through motion body estimation and hybrid
sensors composed by video cameras and a low cost
depth camera based on structured-light. The solu-
tion addresses the geometry reconstruction challenge
from traditional video cameras array, that is, the lack
of accuracy in low-texture or repeated pattern region.
We present a full 3D body reconstruction system that
combines visual features and shape-based alignment.
Experimental results shows that considering a high
number of inliers (not all SURF point features) in-
creases the alignment accuracy. Modeling is based
on meshes computed from dense depth maps in order
lower the data to be processed and create a 3D mesh
representation that is independent of view-point. This
work presents an on-line incremental 3D reconstruc-
tion framework that can be used on low cost telep-
resence applications to enable socialization and en-
tertainment.
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