Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: EFFICIENT LINE MATCHING BY IMAGE SEQUENTIAL ANALYSIS FOR URBAN AREA MODELLING Y. Kunii, H. Chikatsu

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 Figure 6. Result of rooftops recognition Furthermore, in order to perform 3D modelling for the urban area, camera calibration for the first image and the last image were performed by combined adjustment (Chikatsu and Kunii, 2002). Therefore, 3D data for the urban area could be calculated efficiently. Finally, 3D modelling for the urban area was performed by following procedure: (1) side surfaces for each building were constructed using the 3D data for the both ends of the matched line, (2) the recognized rooftops were put on the side surfaces. Figure 7 shows the 3D model for the urban area. 8. CONCLUSION This paper investigates mainly 3 issues regarding 3D modelling for urban area using image sequences: (1) efficient and robust line matching method using optical flow and trifocal tensor, (2) performance evaluation of the proposal line matching, (3)more efficient epipolar matching, and followings are main results were obtained: * Line matching was improved by trifocal tensor. + Proposal line matching method was efficiently more than other general methods. + Efficient epipolar matching was performed by LSM. Thus, it is concluded that the line matching method comprised optical flow, trifocal tensor and epipolar matching is useful method for 3D modelling. However, there are still the following issues to be resolved before this method becomes operational. + Recognition of Complicated rooftops. + Texture mapping. (a) View from left side Acknowledgement The high vision imagery used in this paper were taken by Aero Asahi Corporation. The authors would like to thank ‘Aero Asahi Corporation. References from Journals: Canny, J., 1986. A computational approach to edge detection, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No.6, pp.679-697. Gruen, A., 1985. Adaptive least squares correlation: a powerful image matching technique, South Africa Journal of Photogrammetry, Remote Sensing and Cartography, Vol.14, No.3, pp.175-187. Rosenfeld, A., Hummel, R. and Zucker, S., 1976, Scene labeling using relaxation operation, [EEE Transactions on Systems, Man and Cybernetics, Vol. 6, No. 6, pp.420-433. References from Books: Schenk, T., 2001 Digital Photogrammetry, TerraScience, Ohio, USA. References from Other Literature: Beardsley, P., Torr, P. and Zisserman, A., 1996. 3D model acquisition from extended image sequences, 4th European Conference on Computer Vision, pp.683-695, Cambridge, UK. Chikatsu, H. and Kunii, Y., 2002. Performance evaluation of recent high resolution amateur cameras and application to modeling of historical structure, [Internationals Archives of Photogrammetry and Remote Sensing, Vol. XXXIV Parts, pp.337-341, Corfu, Greece. Kunii, Y. and Chikatsu, H., 2003, Building extraction and modeling in urban area by image sequence analysis, SP/E-IS&T Electric Imaging, Vol.5013, pp.186-193, Santa Clara, USA. Lucas, B., D. and Kanade, T., 1981 An iterative image registration technique with an stereo vision, DARPA Image Understanding Workshop, pp.121-130, Washington D.C., USA (b) View from right side Figure 7. 3D model of urban area

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