Consensus Skeleton for Non-rigid Space-time Registration

We introduce the notion of consensus skeletons for non‐rigid space‐time registration of a deforming shape. Instead of basing the registration on point features, which are local and sensitive to noise, we adopt the curve skeleton of the shape as a global and descriptive feature for the task. Our meth...

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Veröffentlicht in:	Computer graphics forum Jg. 29; H. 2; S. 635 - 644
Hauptverfasser:	Zheng, Q., Sharf, A., Tagliasacchi, A., Chen, B., Zhang, H., Sheffer, A., Cohen-Or, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford, UK Blackwell Publishing Ltd 01.05.2010
Schlagworte:	C (programming language) Deformation Frames I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-object representation I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—object representation, regisration and deformation Image processing systems Incompatibility Inductively coupled plasma regisration and deformation Registers Registration Sampling Spacetime Systems development Tasks
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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Zusammenfassung:	We introduce the notion of consensus skeletons for non‐rigid space‐time registration of a deforming shape. Instead of basing the registration on point features, which are local and sensitive to noise, we adopt the curve skeleton of the shape as a global and descriptive feature for the task. Our method uses no template and only assumes that the skeletal structure of the captured shape remains largely consistent over time. Such an assumption is generally weaker than those relying on large overlap of point features between successive frames, allowing for more sparse acquisition across time. Building our registration framework on top of the low‐dimensional skeleton‐time structure avoids heavy processing of dense point or volumetric data, while skeleton consensusization provides robust handling of incompatibilities between per‐frame skeletons. To register point clouds from all frames, we deform them by their skeletons, mirroring the skeleton registration process, to jump‐start a non‐rigid ICP. We present results for non‐rigid space‐time registration under sparse and noisy spatio‐temporal sampling, including cases where data was captured from only a single view.
Bibliographie:	ark:/67375/WNG-5LQQM4R1-1 ArticleID:CGF1633 istex:6AEAD3AFC0C5B9E946AE31BF171A9478A3B1C029 work was performed while visiting SIAT SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/j.1467-8659.2009.01633.x