Reference : View-Independent Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/21450
View-Independent Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects
English
Afzal, Hassan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Aouada, Djamila mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Destelle, Francois mailto [Dublin City University, Ireland > Insight: Centre for Data Analytics]
Mirbach, Bruno mailto []
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2015
16th International Conference on Computer Analysis of Images and Patterns
Yes
International
16th International Conference on Computer Analysis of Images and Patterns
from 02-09-2015 to 04-09-2015
[en] In this paper, we target enhanced 3D reconstruction of non-rigidly
deforming objects based on a view-independent surface representation with an
automated recursive filtering scheme. This work improves upon the KinectDeform
algorithm which we recently proposed. KinectDeform uses an implicit viewdependent
volumetric truncated signed distance function (TSDF) based surface
representation. The view-dependence makes its pipeline complex by requiring
surface prediction and extraction steps based on camera’s field of view. This paper
proposes to use an explicit projection-based Moving Least Squares (MLS)
surface representation from point-sets. Moreover, the empirical weighted filtering
scheme in KinectDeform is replaced by an automated fusion scheme based
on a Kalman filter. We analyze the performance of the proposed algorithm both
qualitatively and quantitatively and show that it is able to produce enhanced and
feature preserving 3D reconstructions.
SnT, Interdisciplinary Centre for Security, Reliability and Trust
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/21450
FnR ; C11/BM/1204105/FAVE/Ottersten

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