2013
DOI: 10.1007/978-3-642-40303-3_13
|View full text |Cite
|
Sign up to set email alerts
|

Incremental Dense Reconstruction from Sparse 3D Points with an Integrated Level-of-Detail Concept

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2013
2013
2016
2016

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 10 publications
0
2
0
Order By: Relevance
“…Roters et al [11] presented an incremental MVS algorithm which progressively refines an existing point cloud by interpolating points in the centers of the existing triangles. Similarly to HPMVS, the algorithm cannot handle additional information and/or changes in the underlying 3D model.…”
Section: Related Workmentioning
confidence: 99%
“…Roters et al [11] presented an incremental MVS algorithm which progressively refines an existing point cloud by interpolating points in the centers of the existing triangles. Similarly to HPMVS, the algorithm cannot handle additional information and/or changes in the underlying 3D model.…”
Section: Related Workmentioning
confidence: 99%
“…Feature detectors [25] and matching algorithms [7] show a certain amount of speedup. In dense 3Dreconstruction systems [21] GPU implementations are used to speed up the feature matching and triangulation. Even large non-linear optimization problems, for instance bundle adjustment [29], have been implemented on the graphics device.…”
Section: Introductionmentioning
confidence: 99%