Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery

Liang Chien Chen; Tee Ann Teo; Chi Heng Hsieh; Jiann-Yeou Rau

doi:10.1007/11949534-3

Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery

Liang Chien Chen, Tee Ann Teo, Chi Heng Hsieh, Jiann-Yeou Rau

Department of Geomatics

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

29 Citations (Scopus)

Abstract

This paper presents a scheme to detect building regions, followed by a reconstruction procedure. Airborne LIDAR data and aerial imagery are integrated in the proposed scheme. In light of the different buildings, we target the ones with straight and curvilinear boundaries. In the detection stage, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we perform an edge detection to obtain the initial building lines from the rasterized LIDAR data. The accurate arcs and straight lines are then obtained in the image space. By employing the roof analysis, we determine the three dimensional building structure lines. Finally, the Split-Merge-Shape method is applied to generate the building models. Experimental results indicate that the success rate of the building detection reaches 91%. Among the successfully detected buildings, 90% of the buildings are fully or partially reconstructed. The planimetric accuracy of the building boundaries is better than 0.8m, while the shaping error of reconstructed roofs in height is 0.14 m.

Original language	English
Title of host publication	Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
Pages	24-33
Number of pages	10
DOIs	https://doi.org/10.1007/11949534-3
Publication status	Published - 2006 Dec 1
Event	1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan Duration: 2006 Dec 10 → 2006 Dec 13

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4319 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Country	Taiwan
City	Hsinchu
Period	06-12-10 → 06-12-13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11949534-3

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Chen, L. C., Teo, T. A., Hsieh, C. H., & Rau, J-Y. (2006). Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings (pp. 24-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS). https://doi.org/10.1007/11949534-3

Chen, Liang Chien ; Teo, Tee Ann ; Hsieh, Chi Heng ; Rau, Jiann-Yeou. / Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery. Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. 2006. pp. 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a scheme to detect building regions, followed by a reconstruction procedure. Airborne LIDAR data and aerial imagery are integrated in the proposed scheme. In light of the different buildings, we target the ones with straight and curvilinear boundaries. In the detection stage, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we perform an edge detection to obtain the initial building lines from the rasterized LIDAR data. The accurate arcs and straight lines are then obtained in the image space. By employing the roof analysis, we determine the three dimensional building structure lines. Finally, the Split-Merge-Shape method is applied to generate the building models. Experimental results indicate that the success rate of the building detection reaches 91%. Among the successfully detected buildings, 90% of the buildings are fully or partially reconstructed. The planimetric accuracy of the building boundaries is better than 0.8m, while the shaping error of reconstructed roofs in height is 0.14 m.",

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Chen, LC, Teo, TA, Hsieh, CH & Rau, J-Y 2006, Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery. in Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4319 LNCS, pp. 24-33, 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006, Hsinchu, Taiwan, 06-12-10. https://doi.org/10.1007/11949534-3

Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery. / Chen, Liang Chien; Teo, Tee Ann; Hsieh, Chi Heng; Rau, Jiann-Yeou.

Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. 2006. p. 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS).

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

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Chen LC, Teo TA, Hsieh CH, Rau J-Y. Reconstruction of building models with curvilinear boundaries from laser scanner and aerial imagery. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. 2006. p. 24-33. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11949534-3