Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling

Jiann-Yeou Rau, Tee Ann Teo, Liang Chien Chen, Fuan Tsai, Kuo Hsin Hsiao, Wei Chen Hsu

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

6 Citations (Scopus)

Abstract

The generation of the textures of building facades from terrestrial photos is time-consuming work. A more cost-effective way to create a photo-realistic city model containing thousands of buildings and facade textures is necessary. This paper proposes an approach which integrates GPS, GIS and photogrammetry for multi-face texture mapping of a three-dimensional building model. A GPS integrated, high-resolution, non-metric and wide field-of-view digital camera is used. By means of integrating the GIS graphic interface and GPS information about camera location, a large quantity of pictures can be managed efficiently. A graphics user interface for the interactive solving of the exterior orientation parameters is designed. In the meantime, during texturing mapping lens-distortion can be corrected and self-occluded facades can be automatically compensated for. The experimental results indicate that the proposed approach is efficient due to a complex building could be treated in one process and multi-face texturing is designed thus the number of pictures can be reduced. Additionally, a large quantity of pictures can be managed efficiently by GPS-Photo-GIS integration.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
Pages1283-1292
Number of pages10
Volume4319 LNCS
DOIs
Publication statusPublished - 2006
Event1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan
Duration: 2006 Dec 102006 Dec 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4319 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
CountryTaiwan
CityHsinchu
Period06-12-1006-12-13

Fingerprint

Texture Mapping
Photogrammetry
Geographic information systems
Facades
Global positioning system
Texture
Textures
Face
Texturing
Digital Camera
Wide-field
Field of View
Modeling
User Interface
Lens
High Resolution
Camera
Integrate
Three-dimensional
Necessary

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Rau, J-Y., Teo, T. A., Chen, L. C., Tsai, F., Hsiao, K. H., & Hsu, W. C. (2006). Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings (Vol. 4319 LNCS, pp. 1283-1292). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS). https://doi.org/10.1007/11949534-130
Rau, Jiann-Yeou ; Teo, Tee Ann ; Chen, Liang Chien ; Tsai, Fuan ; Hsiao, Kuo Hsin ; Hsu, Wei Chen. / Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Vol. 4319 LNCS 2006. pp. 1283-1292 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "The generation of the textures of building facades from terrestrial photos is time-consuming work. A more cost-effective way to create a photo-realistic city model containing thousands of buildings and facade textures is necessary. This paper proposes an approach which integrates GPS, GIS and photogrammetry for multi-face texture mapping of a three-dimensional building model. A GPS integrated, high-resolution, non-metric and wide field-of-view digital camera is used. By means of integrating the GIS graphic interface and GPS information about camera location, a large quantity of pictures can be managed efficiently. A graphics user interface for the interactive solving of the exterior orientation parameters is designed. In the meantime, during texturing mapping lens-distortion can be corrected and self-occluded facades can be automatically compensated for. The experimental results indicate that the proposed approach is efficient due to a complex building could be treated in one process and multi-face texturing is designed thus the number of pictures can be reduced. Additionally, a large quantity of pictures can be managed efficiently by GPS-Photo-GIS integration.",
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Rau, J-Y, Teo, TA, Chen, LC, Tsai, F, Hsiao, KH & Hsu, WC 2006, Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. in Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. vol. 4319 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4319 LNCS, pp. 1283-1292, 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006, Hsinchu, Taiwan, 06-12-10. https://doi.org/10.1007/11949534-130

Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. / Rau, Jiann-Yeou; Teo, Tee Ann; Chen, Liang Chien; Tsai, Fuan; Hsiao, Kuo Hsin; Hsu, Wei Chen.

Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Vol. 4319 LNCS 2006. p. 1283-1292 (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 proceedingConference contribution

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Rau J-Y, Teo TA, Chen LC, Tsai F, Hsiao KH, Hsu WC. Integration of GPS, GIS and photogrammetry for texture mapping in photo-realistic city modeling. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Vol. 4319 LNCS. 2006. p. 1283-1292. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11949534-130