Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data

Hyokeun Park, Seongsu Jeongb, Il Hong Seo, Hyung Sig Cho, Soo Hee Han, Joon Heo, Hong Gyoo Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The 3D building modeling is one of crucial components in constructing 3D geospatial information. However, most of the existing methods for 3D building modeling depend on manual procedures using photogrammetric and aerial laser scanning data. Such methods take huge amount of time and efforts and have a disadvantage of poor building façades description. On the other hand, many researchers have been interested in constructing 3D building models from point clouds acquired by terrestrial laser scanner. Similar to the aerial laser scanning data, the work process for 3D building modeling is also mainly dependent on the manual process which is inefficient in terms of time and cost. In this regards, this research proposes a semi-automated framework for 3D building modeling using terrestrial laser scanning data. Two key steps: 1) Segmentation based on RANSAC algorithm; 2) Outline extraction after rasterization, are proposed in this research. More specifically, optimization of four different parameters in the segmentation procedure is implemented. The regularization technique is applied to the outlines which are derived from the boundary tracing process. The performance of the proposed framework is evaluated by comparing the processing time between the proposed and fully manual one. Around 30% of the efficiency is improved when the proposed framework is applied for 3D building modeling compared to the manual process.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages1317-1322
Number of pages6
Volume2
Publication statusPublished - 2010 Dec 1
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 2010 Nov 12010 Nov 5

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
CountryViet Nam
CityHanoi
Period10/11/110/11/5

Fingerprint

Scanning
Lasers
Antennas
Processing
Costs
Rasterization

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Park, H., Jeongb, S., Seo, I. H., Cho, H. S., Han, S. H., Heo, J., & Sohn, H. G. (2010). Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data. In 31st Asian Conference on Remote Sensing 2010, ACRS 2010 (Vol. 2, pp. 1317-1322)
Park, Hyokeun ; Jeongb, Seongsu ; Seo, Il Hong ; Cho, Hyung Sig ; Han, Soo Hee ; Heo, Joon ; Sohn, Hong Gyoo. / Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data. 31st Asian Conference on Remote Sensing 2010, ACRS 2010. Vol. 2 2010. pp. 1317-1322
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title = "Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data",
abstract = "The 3D building modeling is one of crucial components in constructing 3D geospatial information. However, most of the existing methods for 3D building modeling depend on manual procedures using photogrammetric and aerial laser scanning data. Such methods take huge amount of time and efforts and have a disadvantage of poor building fa{\cc}ades description. On the other hand, many researchers have been interested in constructing 3D building models from point clouds acquired by terrestrial laser scanner. Similar to the aerial laser scanning data, the work process for 3D building modeling is also mainly dependent on the manual process which is inefficient in terms of time and cost. In this regards, this research proposes a semi-automated framework for 3D building modeling using terrestrial laser scanning data. Two key steps: 1) Segmentation based on RANSAC algorithm; 2) Outline extraction after rasterization, are proposed in this research. More specifically, optimization of four different parameters in the segmentation procedure is implemented. The regularization technique is applied to the outlines which are derived from the boundary tracing process. The performance of the proposed framework is evaluated by comparing the processing time between the proposed and fully manual one. Around 30{\%} of the efficiency is improved when the proposed framework is applied for 3D building modeling compared to the manual process.",
author = "Hyokeun Park and Seongsu Jeongb and Seo, {Il Hong} and Cho, {Hyung Sig} and Han, {Soo Hee} and Joon Heo and Sohn, {Hong Gyoo}",
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Park, H, Jeongb, S, Seo, IH, Cho, HS, Han, SH, Heo, J & Sohn, HG 2010, Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data. in 31st Asian Conference on Remote Sensing 2010, ACRS 2010. vol. 2, pp. 1317-1322, 31st Asian Conference on Remote Sensing 2010, ACRS 2010, Hanoi, Viet Nam, 10/11/1.

Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data. / Park, Hyokeun; Jeongb, Seongsu; Seo, Il Hong; Cho, Hyung Sig; Han, Soo Hee; Heo, Joon; Sohn, Hong Gyoo.

31st Asian Conference on Remote Sensing 2010, ACRS 2010. Vol. 2 2010. p. 1317-1322.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Park H, Jeongb S, Seo IH, Cho HS, Han SH, Heo J et al. Development of semi-automated framework for 3D building modeling using terrestrial laser scanning data. In 31st Asian Conference on Remote Sensing 2010, ACRS 2010. Vol. 2. 2010. p. 1317-1322