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Proceedings Paper

Experiences and achievements in automated image sequence orientation for close-range photogrammetric projects
Author(s): Luigi Barazzetti; Gianfranco Forlani; Fabio Remondino; Riccardo Roncella; Marco Scaioni
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Paper Abstract

Automatic image orientation of close-range image blocks is becoming a task of increasing importance in the practice of photogrammetry. Although image orientation procedures based on interactive tie point measurements do not require any preferential block structure, the use of structured sequences can help to accomplish this task in an automated way. Automatic orientation of image sequences has been widely investigated in the Computer Vision community. Here the method is generally named "Structure from Motion" (SfM), or "Structure and Motion". These refer to the simultaneous estimation of the image orientation parameters and 3D object points of a scene from a set of image correspondences. Such approaches, that generally disregard camera calibration data, do not ensure an accurate 3D reconstruction, which is a requirement for photogrammetric projects. The major contribution of SfM is therefore viewed in the photogrammetric community as a powerful tool to automatically provide a dense set of tie points as well as initial parameters for a final rigorous bundle adjustment. The paper, after a brief overview of automatic procedures for close-range image sequence orientation, will show some characteristic examples. Although powerful and reliable image orientation solutions are nowadays available at research level, there are certain questions that are still open. Thus the paper will also report some open issues, like the geometric characteristics of the sequences, scene's texture and shape, ground constraints (control points and/or free-network adjustment), feature matching techniques, outlier rejection and bundle adjustment models.

Paper Details

Date Published: 21 June 2011
PDF: 13 pages
Proc. SPIE 8085, Videometrics, Range Imaging, and Applications XI, 80850F (21 June 2011); doi: 10.1117/12.890116
Show Author Affiliations
Luigi Barazzetti, Politecnico di Milano (Italy)
Gianfranco Forlani, Univ. degli Studi di Parma (Italy)
Fabio Remondino, Fondazione Bruno Kessler (Italy)
Riccardo Roncella, Univ. degli Studi di Parma (Italy)
Marco Scaioni, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 8085:
Videometrics, Range Imaging, and Applications XI
Fabio Remondino; Mark R. Shortis, Editor(s)

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