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Abstract: We demonstrate the recovery of 3D structure from multiple images, without attempting to determine the motion between views. The structure is recovered up to a transformation by a 3D linear group - the affine and projective group. The recovery does not require knowledge of camera intrinsic parameters or camera motion. Three methods for recovering such structure based on point correspondences are described and evaluated. The accuracy of recovered structure is assessed by measuring its invariants... (Update)
Context of citations to this paper: More
...the active system make judgements as to whether the tracked object will fit through a gap. The third is for identification, if we encode models as convex hulls and compute affine invariants for those hulls, those invariants could be used to identify the object ([9, 34]) from...
..., i =7# : # n, is sufficiently small. Other methods for achieving reprojection include the epipolar intersection method (cf. [26,6,11]) orby using projective structure instead of the relativeaffine structure [34, 36] In all the above methods the epipolar geometry plays a key...
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0.3: Appendix - Projective Geometry for Machine Vision - Mundy, Zisserman (1992) (Correct)
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BibTeX entry: (Update)
S. Demey, A. Zisserman, and P. Beardsley. Affine and projective structure from motion. In Proceedings of the British Machine Vision Conference, October 1992. http://citeseer.ist.psu.edu/demey92affine.html More
@misc{ demey92affine,
author = "S. Demey and A. Zisserman and P. Beardsley",
title = "Affine and projective structure from motion",
text = "S. Demey, A. Zisserman, and P. Beardsley. Affine and projective structure
from motion. In Proceedings of the British Machine Vision Conference, October
1992.",
year = "1992",
url = "citeseer.ist.psu.edu/demey92affine.html" }
Citations (may not include all citations):1080 A Computational Approach to Edge Detection - Canny - 1986 ACM
332 Geometric Invariance in Computer Vision (context) - Mundy, Zisserman - 1992 ACM
286 Recognition by Linear Combination of Models (context) - Ullman, Basri - 1991 ACM
273 A Computer Algorithm for Reconstructing a Scene from Two Pro.. (context) - Longuet-Higgins - 1981 ACM
228 Stereo from Uncalibrated Cameras (context) - Hartley, Gupta et al.
177 Affine Structure from Motion (context) - Koenderink, Van Doorn - 1991
155 Algebraic Projective Geometry (context) - Semple, Kneebone - 1952
128 Perceptual Organization and Visual Recognition (context) - Lowe - 1985 ACM
18 The Reconstruction of a Scene from two Projections - Configu.. (context) - Maybank, Longuet-Higgins - 1984
18 The Reconstruction of a Scene from two Projections - Configu.. (context) - Longuet-Higgins - 1984
12 Towards Structure from Motion for Linear Features through Re.. (context) - Quan, Mohr - 1991
11 Relative Positioning from Geometric Invariants (context) - Mohr, Morin - 1991
10 Parallel Implementation of Lagrangian Dynamics for real-time.. (context) - Curwen, Blake et al. - 1991
8 Using Projective Invariants for Constant Time Library Indexi.. - Rothwell, Zisserman et al. - 1991
8 Ego-motion from Six Points (context) - Beardsley, Sinclair et al. - 1992
2 To appear in Handbook of Pattern Recognition and Computer Vi.. (context) - Mohr - 1992
1 What can be seen in 3D with an uncalibrated stereo rig (context) - Faugeras - 1992
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