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

2004 EFFICIENT LINE MATCHING BY IMAGE SEQUENTIAL ANALYSIS FOR URBAN AREA MODELLING Y. Kunii*, H. Chikatsu Tokyo Denki University, Department of Civil and Environmental Engineering, Hatoyama, Saitama, 350-0394, Japan - (kunii, chikatsu)@g.dendai.ac.jp Commission Youth Forum KEY WORDS: Urban, Extraction, Sequences, Matching, Modelling, Visualization ABSTRACT: 3D city modelling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modelling for man- made objects such as buildings, roads and other objects. Line extraction and sterco matching are usually utilized as an image processing procedures. However, there are some issues for automatic man-made object modelling. In particular, spatial data acquisition of buildings are important for reliable city modelling With this objective, this paper focuses especially on efficient line matching method using optical flow and trifocal tensor. Furthermore, line matching in general stereo matching methods were also investigated, and performance of the proposal line matching method was compared with these general methods in this paper. 1. INTRODUCTION Recently, efficient spatial data acquisition and visualization have been receiving more attention from the view point of city planning, city regeneration, telecommunications, environmental and energy problems. Generally, in order to perform object modelling using digital image, line or feature extraction and stereo matching are performed, and many matching methods such as area based matching, future based matching have been proposed. In particular, line gives important information for building extraction, and satisfied 3D results are depend on rigorous line extraction and matching. With this motive, the authors have been concentrating on developing an efficient line matching procedure for man-made object modelling using high vision imagery (Kunii and Chikatsu, 2003). The line matching is comprised of line extraction and line tracking, line extraction was performed by Canny operator (Canny, 1986), and line matching was performed using optical flow estimation and epipolar matching. However, more efficient line matching is needed for automatic 3D modelling due to fragment or multiple lines during the line matching procedure. In these circumstances, this paper focuses on more efficient line matching method using trifocal tensor (Beardsley, et al., 1996). The trifocal tensor is geometric relation of 3 images, and useful for point or line matching of multiple image. Therefore, the line matching for the high vision imagery could be performed more efficiently. Furthermore, line matching by general stereo matching methods were also investigated in this paper, and performance of the proposal line matching method was compared with these general methods. Finally, 3D modelling for the urban area was performed by the line information in this paper. 221 2. HIGH VISION IMAGERY The high vision imagery in this paper was taken by high definition television (HDTV) format. This paper reports the 3D modelling method using the high vision imagery which obtained from a helicopter at urban district of Kobe-city, Hyogo, Japan. Table | shows the major components of the high vision imagery, and Figure 1 shows the first frame imagery. Table 1. Major components of the high vision’ imagery LEN D ©0006 © 0 0 2 0 0 0 0 0 0 ® 000 000000 ©0000 ©0000 000000 00000000000000000000000000000 ,J 3 ey iy A end I ag d “ih Figure 1. First frame imagery 3. LINE MATCHING BY OPTICAL FLOW The line matching was performed by line extraction and line tracking using optical flow. Detail procedures of the line matching method are as follows.

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