Template‐Based Reconstruction of Surface Mesh Animation from Point Cloud Animation

In this paper, we present a method for reconstructing a surface mesh animation sequence from point cloud animation data. We mainly focus on the articulated body of a subject — the motion of which can be roughly described by its internal skeletal structure. The point cloud data is assumed to be captu...

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Bibliographic Details
Published inETRI journal Vol. 36; no. 6; pp. 1008 - 1015
Main Authors Park, Sang Il, Lim, Seong‐Jae
Format Journal Article
LanguageEnglish
Published Electronics and Telecommunications Research Institute (ETRI) 01.12.2014
한국전자통신연구원
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Summary:In this paper, we present a method for reconstructing a surface mesh animation sequence from point cloud animation data. We mainly focus on the articulated body of a subject — the motion of which can be roughly described by its internal skeletal structure. The point cloud data is assumed to be captured independently without any inter‐frame correspondence information. Using a template model that resembles the given subject, our basic idea for reconstructing the mesh animation is to deform the template model to fit to the point cloud (on a frame‐by‐frame basis) while maintaining inter‐frame coherence. We first estimate the skeletal motion from the point cloud data. After applying the skeletal motion to the template surface, we refine it to fit to the point cloud data. We demonstrate the viability of the method by applying it to reconstruct a fast dancing motion
Bibliography:The research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012 R1A1A1014702), and this work was supported by the IT R&D Program of MSIP/IITP (10047093, 3D Content Creation and Editing Technology Based on Real Objects for 3D Printing).
http://etrij.etri.re.kr/etrij/journal/article/article.do?volume=36&issue=6&page=1008
G704-001110.2014.36.6.012
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.14.0113.1181