Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/76341
Type: Journal article
Title: Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations
Author: Newsam, G.
Huynh, D.
Brooks, M.
Pan, H.
Citation: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 1996; XXXI(Part 3B):575-580
Publisher: International Society for Photogrammetry and Remote Sensing
Issue Date: 1996
ISSN: 1682-1750
0256-1840
Statement of
Responsibility: 
G.N. Newsam, D.Q. Huynh, M.J. Brooks, H.-P. Pan
Abstract: If sufficiently many pairs of corresponding points in a stereo image pair are available to construct the associated fundamental matrix, then it has been shown that 5 relative orientation parameters and 2 focal lengths can be recovered from this fundamental matrix. This paper presents a new and essentially linear algorithm for recovering focal lengths. Moreover the derivation of the algorithm also provides a complete characterisation of all degenerate configurations in which focal lengths cannot be uniquely recovered. There are two classes of degenerate configurations: either one of the optical axes of the cameras lies in the plane spanned by the baseline and the other optical axis; or one optical axis lies in the plane spanned by the baseline and the vector that is orthogonal to both the baseline and the other axis. The result that the first class of configurations (i.e. ones in which the optical axes are coplanar) is degenerate is of some practical importance since it shows that self-calibration of unknown focal lengths is not possible in certain stereo heads, a configuration widely used for binocular vision systems in robotics.
Keywords: Stereo vision; degeneracy; epipolar equation; fundamental matrix; self-calibration; relative orientation
Description: ISPRS Congress Vienna 1996
Rights: © by each author for his part.
RMID: 0020126007
Description (link): http://www.isprs.org/proceedings/XXXI/congress/part3/
Published version: http://www.isprs.org/proceedings/XXXI/congress/part3/575_XXXI-part3.pdf
Appears in Collections:Computer Science publications

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