similar targets 
eatures for the 
the sequence is 
nown, but they 
cess presented 
' points for the 
1easured on the 
"uration of the 
). 
  
ct coordinates 
ill consecutive 
d point cloud 
Figure 9 
  
lization 
) 
6. CONCLUSION 
In this paper a method to create 3-D models of human bodies 
from uncalibrated image sequences has been presented. The 
process is automated and the recovered point cloud can be 
imported in commercial software for editing, surface modeling 
or animation purpose. As future work, the process for the 
identification of image correspondences described in [Pilu, 
1997] could be included in our method, weighting the proximity 
matrix with the sigma of the ALSM process. The reconstruction 
of the body will also be extended to the back part, with a 360 
degree coverage. Moreover, sequences where the camera is still 
and the person is moving or both camera and person are moving 
will be investigated. 
ACKNOWLEDGMENT 
I would like to thank G.Roth, of the Institute for Information 
Technology, NRC of Canada, for the useful talks about his PVT 
toolkit. 
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