Relative orientation of multiple images using projective singular correlation

Ilkka Niini

doi:10.1117/12.182902

17 August 1994 Relative orientation of multiple images using projective singular correlation

Ilkka Niini

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182902
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

A relative orientation method of multiple images with unknown interior orientations is presented. The method is based on the projective singular correlation between the images and on the relations between the singular correlation, relative orientation, epipolar geometry, and interior orientation. The method does not require any control points as a reference, but at least three images taken with the same camera from distinct standpoints are required. The computations are linear in principle, and only the solution of the interior orientation is iterative and requires approximate values which also can be obtained linearly from a set of three images taken from the same position in space. The relative orientation method has four steps. First, all singular correlations between the images are computed and the epipoles are extracted from the correlations. Second, the interior orientations of the images are computed. Third, the relative orientations of the images are computed. Finally, the model coordinates of the object are obtained using the relative orientation parameters. The method can be applied for 3-D object reconstruction in a CAD/CAM environment.

Citation Download Citation

Ilkka Niini "Relative orientation of multiple images using projective singular correlation", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182902

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available