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M. Wand, B. Adams, M. Ovsjanikov, A. Berner, M. Bokeloh, P. Jenke, L. Guibas, H.-P. Seidel, A. Schilling: Efficient Reconstruction of Non-rigid Shape and Motion from Real-Time 3D Scanner Data. In: ACM Transactions on Graphics (TOG) 2009
Abstract:
We present a new technique for reconstructing a single shape and its
non-rigid motion from 3D scanning data. Our algorithm takes a set of
time-varying unstructured sample points that show partial views of a deforming object as input and reconstructs a single shape and a deformation
field that t the data. This representation yields dense correspondences
for the whole sequence, as well as a completed 3D shape in every frame. In
addition, the algorithm automatically removes spatial and temporal noise
artifacts and outliers from the raw input data. Unlike previous methods,
the algorithm does not require any shape template but computes a fitting
shape automatically from the input data. Our reconstruction technique is based upon a novel topology aware adaptive sub-space deformation technique that allows handling long sequences with high resolution geometry
efficiently. The algorithm accesses data in multiple sequential passes, so
that long sequences can be streamed from hard disk, not being limited by
main memory. We apply the technique to several benchmark data sets,
increasing the complexity of the data that can be handled significantly
in comparison to previous work, while at the same time improving the
reconstruction quality.
Bibtex:
@article{wao-erns-09,
author = {Wand, Michael and Adams, Bart and Ovsjanikov, Maksim and Berner, Alexander and Bokeloh, Martin and Jenke, Philipp and Guibas, Leonidas and Seidel, Hans-Peter and Schilling, Andreas},
title = {Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data},
journal = {ACM Trans. Graph.},
volume = {28},
number = {2},
year = {2009},
issn = {0730-0301},
pages = {1--15},
}
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