Reference : KinectDeform: Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/19612

Title :	KinectDeform: Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects
Language :	English
Author, co-author :	Afzal, Hassan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Al Ismaeil, Kassem [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Aouada, Djamila [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Destelle, Franc ̧ois []
	Mirbach, Bruno []
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2014
Main document title :	Second International Conference on 3D Vision
Publisher :	IEEE Computer Society's Conference Publishing Services (CPS)
Peer reviewed :	Yes
Audience :	International
City :	Tokyo
Country :	Japan
Event name :	In The 3DV Workshop on Dynamic Shape Measurement and Analysis
Event date :	from 08-12-2014 to 08-12-2014
Keywords :	[en] Non-rigid registration ; Enhanced 3D reconstruction ; Recursive filtering
Abstract :	[en] In this work we propose KinectDeform, an algorithm which targets enhanced 3D reconstruction of scenes containing non-rigidly deforming objects. It provides an innovation to the existing class of algorithms which either target scenes with rigid objects only or allow for very limited non-rigid deformations or use pre-computed templates to track them. KinectDeform combines a fast non-rigid scene tracking algorithm based on octree data representation and hierarchical voxel associations with a recursive data filtering mechanism. We analyze its performance on both real and simulated data and show improved results in terms of smoothness and feature preserving 3D reconstructions with reduced noise.
Permalink :	http://hdl.handle.net/10993/19612

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