A novel approach to automatic registration of point clouds

Rui Liu; Darius Burschka; Gerd Hirzinger

doi:10.1109/IGARSS.2007.4422815

A novel approach to automatic registration of point clouds

Rui Liu, Darius Burschka, Gerd Hirzinger

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.

Original language	English
Title of host publication	2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages	401-404
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2007.4422815
State	Published - 2007
Externally published	Yes
Event	2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain Duration: 23 Jun 2007 → 28 Jun 2007

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Country/Territory	Spain
City	Barcelona
Period	23/06/07 → 28/06/07

Keywords

Range image registration
Segmentation and analysis

Access to Document

10.1109/IGARSS.2007.4422815

Cite this

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title = "A novel approach to automatic registration of point clouds",

abstract = "For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.",

keywords = "Range image registration, Segmentation and analysis",

author = "Rui Liu and Darius Burschka and Gerd Hirzinger",

year = "2007",

doi = "10.1109/IGARSS.2007.4422815",

language = "English",

isbn = "1424412129",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "401--404",

booktitle = "2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007",

note = "2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 ; Conference date: 23-06-2007 Through 28-06-2007",

}

Liu, R, Burschka, D & Hirzinger, G 2007, A novel approach to automatic registration of point clouds. in 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007., 4422815, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 401-404, 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, Barcelona, Spain, 23/06/07. https://doi.org/10.1109/IGARSS.2007.4422815

A novel approach to automatic registration of point clouds. / Liu, Rui; Burschka, Darius; Hirzinger, Gerd.
2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007. 2007. p. 401-404 4422815 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A novel approach to automatic registration of point clouds

AU - Liu, Rui

AU - Burschka, Darius

AU - Hirzinger, Gerd

PY - 2007

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N2 - For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.

AB - For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.

KW - Range image registration

KW - Segmentation and analysis

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DO - 10.1109/IGARSS.2007.4422815

M3 - Conference contribution

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SN - 9781424412129

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007

T2 - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007

Y2 - 23 June 2007 through 28 June 2007

ER -

A novel approach to automatic registration of point clouds

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Keywords

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