2018
DOI: 10.1111/cgf.13497
|View full text |Cite
|
Sign up to set email alerts
|

Hierarchical Quad Meshing of 3D Scanned Surfaces

Abstract: In this paper we present a novel method to reconstruct watertight quad meshes on scanned 3D geometry. There exist many different approaches to acquire 3D information from real world objects and sceneries. Resulting point clouds depict scanned surfaces as sparse sets of positional information. A common downside is the lack of normals, connectivity or topological adjacency data which makes it difficult to actually recover a meaningful surface. The concept described in this paper is designed to reconstruct a surf… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 30 publications
0
1
0
Order By: Relevance
“…The concepts proposed by Jakob et al [JTPSH15] and Schertler et al [STJ*17] use flow-fields to extract such quad meshes from oriented point clouds. Other works [ZLGH10,BL18] proposed techniques that do not require scanned or pre-computed normals for the point cloud to come up with a surface or, in the latter case, with a quad-mesh.…”
Section: Related Workmentioning
confidence: 99%
“…The concepts proposed by Jakob et al [JTPSH15] and Schertler et al [STJ*17] use flow-fields to extract such quad meshes from oriented point clouds. Other works [ZLGH10,BL18] proposed techniques that do not require scanned or pre-computed normals for the point cloud to come up with a surface or, in the latter case, with a quad-mesh.…”
Section: Related Workmentioning
confidence: 99%