NDLI: Deep points consolidation

Content Provider	ACM Digital Library
Author	Wu, Shihao Huang, Hui Cohen-or, Daniel Gong, Minglun Zwicker, Matthias
Copyright Year	2015
Abstract	In this paper, we present a consolidation method that is based on a new representation of 3D point sets. The key idea is to augment each surface point into a deep point by associating it with an inner point that resides on the meso-skeleton, which consists of a mixture of skeletal curves and sheets. The deep points representation is a result of a joint optimization applied to both ends of the deep points. The optimization objective is to fairly distribute the end points across the surface and the meso-skeleton, such that the deep point orientations agree with the surface normals. The optimization converges where the inner points form a coherent meso-skeleton, and the surface points are consolidated with the missing regions completed. The strength of this new representation stems from the fact that it is comprised of both local and non-local geometric information. We demonstrate the advantages of the deep points consolidation technique by employing it to consolidate and complete noisy point-sampled geometry with large missing parts.
Starting Page	1
Ending Page	13
Page Count	13
File Format	PDF
ISSN	07300301
e-ISSN	15577368
DOI	10.1145/2816795.2818073
Volume Number	34
Issue Number	6
Journal	ACM Transactions on Graphics (TOG)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-26
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Consolidation Meso-skeleton Points representation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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