MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Resolving ambiguities in auto-calibration (1998) [30 citations — 5 self]

Download:
Download as a PDF | Download as a PS
by B Y Andrew Zisserman, David Liebowitz, Martin Armstrong
Philosophical Transactions of the Royal Society of London, SERIES A
http://www.robots.ox.ac.uk/~vgg/vggpapers/Zisserman98.ps.gz
Add To MetaCart

Abstract:

Three dimensional projective structure, that is structure modulo a projectivity of 3D space, can be recovered from its projection in multiple perspective images. The images might be acquired, for example, by a moving monocular camera or a stereo rig. This projective structure can be upgraded to Euclidean structure by identifying two entities, the plane at infinity and the absolute conic. Auto-calibration methods use constraints induced by the rigid motion of the camera to determine the Euclidean structure (or equivalently the camera calibration). Often these motion constraints are supplemented by known values of the camera internal parameters or scene constraints in order to resolve ambiguities or stabilize the algorithms. It is shown in this paper that in certain common situations this supplementary information may not resolve the ambiguity. This is illustrated for the particular ambiguity arising for motions with a single direction of the rotation axis. Four types of constraint are analyzed, and the conditions under which the ambiguity is not resolved are given. The constraint cases are: perpendicular image axes (the zero-skew constraint); specified image aspect ratio; specified image principal point; and, perpendicularity of scene features. 1.

Citations

1021 Three Dimensional Computer Vision: A Geometric Viewpoint – Faugeras - 1993
639 Shape and motion from image streams under ortography: a factorization approach – Tomasi, Kanade - 1992
310 Camera self-calibration: theory and experiments – Faugeras - 1992
236 Estimation of relative camera positions for uncalibrated cameras – Hartley - 1992
210 Euclidean reconstruction from uncalibrated views – Hartley - 1994
194 Geometric Invariance in Computer Vision – Mundy, Zisserman - 1992
187 Canonic Representations for the Geometries of Multiple Projective Views, ECCV’94, ferent settings. Four such settings calibrated, uncalibrated, affinely reduced and projectively reduced, are described in the paper. The affinely reduced setting is describe – Luong, Vieville - 1994
181 3D model acquisition from extended image sequences – Beardsley, Torr, et al. - 1996
157 Auto-calibration and the absolute quadric – Triggs - 1997
154 Algebraic projective geometry – Semple, Kneebone - 1952
135 Geometric Computation for Machine Vision – Kanatani - 1995
123 Self-calibration from multiple views with a rotating camera – Hartley - 1994
116 Self calibration and metric reconstruction in spite of varying and unknown internal camera parameters – Pollefeys, Koch, et al. - 1998
95 Selfcalibration from image triplets – Armstrong, Zisserman, et al.
84 A linear method for reconstruction from lines and points – Hartley
82 Euclidean reconstruction from image sequences with varying and unknown focal length and principal point – Heyden, Åström
77 Metric calibration of a stereo rig – Zisserman, Beardsley, et al. - 1995
76 projective to Euclidean space under any practical situation, a critism of self-calibration – Bougnoux, ”From - 1998
69 Stratification of three-dimensional vision: Projective, affine and metric representations – Faugeras - 1995
51 From projective to euclidean reconstruction – Devernay, Faugeras - 1996
45 Self-calibration and Euclidean reconstruction using motions of a stereo rig – Horaud, Csurka - 1998
41 Affine calibration of mobile vehicles – Beardsley, Zisserman - 1995
38 Matrice Fondamentale et Autocalibration en Vision par Ordinateur – Luong - 1992
24 Euclidean 3D reconstruction from image sequences with variable focal lengths – Pollefeys, Gool, et al. - 1996
15 Self-Calibration from Image Sequences – Armstrong - 1996
12 Euclidean reconstruction from uncalibrated images – Armstrong, Zisserman, et al. - 1994
9 Geometry of a system of N cameras. Theory, estimation, and applications – Laveau - 1996
3 Projective, Affine and Euclidean Calibration in Computer Vision and Application of Three – Zeller - 1996