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Proceedings Paper

Relative orientation of image triples using straight linear features
Author(s): Elli Petsa; Petros G. Patias
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Paper Abstract

Linear features abound in man-made environments and the possibility of their automated detection and measurement on digital images renders their employment -- rather than that of point features -- highly advantageous for camera calibration, space resection, relative orientation and object reconstruction, particularly in close-range photogrammetry and computer vision. This paper presents our formulation and treatment of mathematical models suitable for the tasks of relative orientation of image triples and for object reconstruction, up to a scale factor, from straight line correspondences, a problem known as `motion and structure' in computer vision. In this phase, the formulated algorithms have been extensively investigated with simulations employing various basic line configurations in order to further illuminate the still inadequately addressed questions of critical geometries and degeneracy. Conclusions are reported for several degenerate combinations of object line distributions and perspective center position patterns which have a particular interest. Finally, a simulated numerical example is also given.

Paper Details

Date Published: 17 August 1994
PDF: 7 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182907
Show Author Affiliations
Elli Petsa, National Technical Univ. of Athens (Greece)
Petros G. Patias, Aristotle Univ. of Thessaloniki (Greece)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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