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Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images

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Abstract:

In this study, a new 3D reconstruction approach for line segments from stereo images is proposed which covers the case that the image lines are nearly-aligned (≤ 10°) with the epipolar line. The method manipulates the redundancy inherent in line pair-relations to generate artificial 3D points and utilizes those entities during the estimation process to improve the reconstruction of the line segments. The best points for the reconstruction are selected based on a newly proposed weight function. To test the performance of the proposed approach, we selected three test patches over a builtup area of the city of Vaihingen, Germany. The proposed approach produced a highly promising reconstruction performance for line segments that are nearly aligned with the epipolar line.

German
In diesem Beitrag wird eine neue Methode zur 3D Rekonstruktion von Geraden aus Stereobildern vorgeschlagen, welche in den Bildern beinahe parallel (≤ 10º) zur Kernlinie liegen. Die Redundanz, welche sich aus paarweisen Relationen von Linien ergibt, wird ausgenützt, um künstliche 3D Punkte zu erzeugen, die dann in die Schätzung der Parameter der 3D Linien als Beobachtungen eingehen und die Ergebnisse der Rekonstruktion verbessern. Die am besten für die Rekonstruktion geeigneten Punkte werden auf Basis einer neu entwickelten Gewichtsfunktion ausgewählt. Um die Leistungsfähigkeit des Verfahrens zu testen, wurden drei Testgebiete in einem bebauten Gebiet der Stadt Vaihingen (Baden-Württemberg) ausgewählt. Das Verfahren lieferte viel versprechende Ergebnisse für die Rekonstruktion von 3D Linien, die in den Bildern beinahe parallel zu den Epipolarlinien liegen.

Keywords: LINE MATCHING; LINE RECONSTRUCTION; NEAR EPIPOLAR LINE SEGMENTS; PROJECTIVE GEOMETRY; STEREO AERIAL IMAGES

Language: German

Document Type: Research Article

DOI: http://dx.doi.org/10.1127/1432-8364/2012/0122

Publication date: August 1, 2012

More about this publication?
  • Photogrammetrie - Fernerkundung - Geoinformation (PFG) is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the intricately connected field of geoinformation processing.

    Papers published in PFG highlight new developments and applications of these technologies in practice. The journal hence addresses both researchers and student of these disciplines at academic institutions and universities and the downstream users in both the private sector and public administration.

    PFG places special editorial emphasis on the communication of new methodologies in data acquisition, new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

    PFG is the official journal of the German Society of Photogrammetry and Remote Sensing.
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