Automatic surface patch generation from a video image sequence

Yixiang Tian; M. Gerke; G. Vosselman; Qing Zhu

doi:10.1007/978-3-540-87395-2_14

Automatic surface patch generation from a video image sequence

Yixiang Tian, M. Gerke, G. Vosselman, Qing Zhu

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

4 Citations (Scopus)

19 Downloads (Pure)

Abstract

Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building’s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches’ outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.

Original language	English
Title of host publication	3D Geo-Information Sciences
Editors	Jiyeong Lee, Sisi Zlatanova
Place of Publication	Berlin
Publisher	Springer
Pages	235-246
Number of pages	12
ISBN (Print)	978-3-540-87394-5
DOIs	https://doi.org/10.1007/978-3-540-87395-2_14
Publication status	Published - 2009
Event	3rd International Workshop 3D Geo-Information 2008 - Seoul, Korea, Republic of Duration: 13 Nov 2008 → 14 Nov 2008 Conference number: 3

Publication series

Name	Lecture Notes in Geoinformation and Cartography
Publisher	Springer
ISSN (Print)	1863-2246
ISSN (Electronic)	1863-2351

Workshop

Workshop	3rd International Workshop 3D Geo-Information 2008
Country/Territory	Korea, Republic of
City	Seoul
Period	13/11/08 → 14/11/08

Keywords

ADLIB-ART-330
EOS
2023 OA procedure

Access to Document

10.1007/978-3-540-87395-2_14

ArticleFinal published version, 1.28 MBLicence: Taverne

Cite this

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title = "Automatic surface patch generation from a video image sequence",

abstract = "Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building{\textquoteright}s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches{\textquoteright} outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.",

keywords = "ADLIB-ART-330, EOS, 2023 OA procedure",

author = "Yixiang Tian and M. Gerke and G. Vosselman and Qing Zhu",

year = "2009",

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language = "English",

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Tian, Y, Gerke, M, Vosselman, G & Zhu, Q 2009, Automatic surface patch generation from a video image sequence. in J Lee & S Zlatanova (eds), 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography, Springer, Berlin, pp. 235-246, 3rd International Workshop 3D Geo-Information 2008, Seoul, Korea, Republic of, 13/11/08. https://doi.org/10.1007/978-3-540-87395-2_14

TY - CHAP

T1 - Automatic surface patch generation from a video image sequence

AU - Tian, Yixiang

AU - Gerke, M.

AU - Vosselman, G.

AU - Zhu, Qing

N1 - Conference code: 3

PY - 2009

Y1 - 2009

N2 - Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building’s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches’ outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.

AB - Automatic 3D building reconstruction is becoming increasingly important for a number of applications. This paper aims to present a new approach for an automatic pipeline to reconstruct surface patches from a video image sequence, which can deal with images acquired with an uncalibrated hand held camera. In order to skip the details to get the surface patches that present the building’s main structure, the algorithm applies rules and a processing sequence that aim to reasonably group extracted sparse 3D points and 3D edges. Then the surface patches are estimated from these grouped points and edges. The final step is to define the surface patches’ outline, which aim to both present the location and the actual shape of the surface patches. The results for two datasets show that the main surface patches for each dataset are successfully reconstructed.

KW - ADLIB-ART-330

KW - EOS

KW - 2023 OA procedure

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2008/chap/gerke_aut.pdf

U2 - 10.1007/978-3-540-87395-2_14

DO - 10.1007/978-3-540-87395-2_14

M3 - Chapter

SN - 978-3-540-87394-5

T3 - Lecture Notes in Geoinformation and Cartography

SP - 235

EP - 246

BT - 3D Geo-Information Sciences

A2 - Lee, Jiyeong

A2 - Zlatanova, Sisi

PB - Springer

CY - Berlin

T2 - 3rd International Workshop 3D Geo-Information 2008

Y2 - 13 November 2008 through 14 November 2008

ER -

Automatic surface patch generation from a video image sequence

Abstract

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Workshop

Keywords

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