Yachida, M.[Masahiko],
Asada, M.[Minoru], and
Tsuji, S.[Saburo],
Automatic Analysis of Moving Images,
PAMI(3), No. 1, January 1981, pp. 12-20.
BibRef
8101
Earlier: A2, A1, A3:
Representation of Motions in Time-Varying Imagery,
ICPR82(306-309).
BibRef
And: A2, A1, A3:
Automatic Motion Analysis System of Moving Objects from the
Records of Natural Processes,
ICPR78(726-730).
Use of the gaussian sphere to determine the motions of the objects.
This work assumes that the correspondences are already computed!
BibRef
Asada, M.[Minoru], and
Tsuji, S.[Saburo],
Reconstruction of Three-Dimensional Motions from Image Sequences,
PRIP81(88-90).
BibRef
8100
Asada, M.[Minoru],
Yachida, M.[Masahiko],
Tsuji, S.[Saburo],
Analysis of Three-Dimensional Motions in the Blocks World,
PR(17), No. 1, 1984, pp. 57-71.
WWW Version.
0309
BibRef
Earlier:
Three Dimensional Motion Interpretation for the Sequence of
Line Drawings,
ICPR80(1266-1273).
Uses labeled scene to determine
correspondences. Then compute the rotation and translation.
BibRef
Schalkoff, R.J.[Robert J.],
Automated reasoning about image motion using a rule-based deduction
system,
IVC(4), No. 2, May 1986, pp. 97-106.
WWW Version.
0401
BibRef
Jerian, C.P.,
Jain, R.,
Structure from Motion: A Critical Analysis of Methods,
SMC(21), 1991, pp. 572-588.
BibRef
9100
Goh, W.B.,
Martin, G.R.,
Model-Based Multiresolution Motion Estimation in Noisy Images,
CVGIP(59), No. 3, May 1994, pp. 307-319.
WWW Version.
BibRef
9405
Zhang, Z.Y.[Zheng-You],
On The Optimization Criteria Used in Two-View Motion Analysis,
PAMI(20), No. 7, July 1998, pp. 717-729.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9808
Camera Calibration.
BibRef
Earlier:
Understanding the Relationship Between the Optimization Criteria in
Two-View Motion Analysis,
ICCV98(772-777).
IEEE DOI Link Shows the criteria: Gradient weighted epipolar errors and distances between
points and their reprojections are equivalent, when epipoles are at
infinity. And the first of these and the criterion: distance between points
and their epipolar lines are equivalent only when epipole is at infinity and
the scales are the same. Thus the first criterion (gradient ...)
is sufficient in practice.
See also Unified Theory of Uncalibrated Stereo for Both Perspective and Affine Cameras.
BibRef
Zhang, Z.Y.[Zheng-You],
Motion and Structure from Two Perspective Views:
From Essential Parameters to Euclidean Motion Through the
Fundamental Matrix,
JOSA-A(14), No. 11, November 1997, pp. 2938-2950.
9711
Fundamental Matrix.
BibRef
Mitiche, A.,
Bouthemy, P.,
Computation and Analysis of Image Motion:
A Synopsis of Current Problems and Methods,
IJCV(19), No. 1, July 1996, pp. 29-55.
Springer DOI Link
9608
BibRef
Bouthemy, P.,
2D Motion Description and Contextual Motion Analysis: Issues and New
Models,
SCVMA04(1-15).
Springer DOI Link
0405
BibRef
Oskarsson, M.[Magnus],
Åström, K.[Kalle],
Overgaard, N.C.[Niels C.],
The Minimal Structure and Motion Problems with Missing Data for 1D
Retina Vision,
JMIV(26), No. 3, December 2006, pp. 327-343.
Springer DOI Link
0701
BibRef
Earlier:
Classifying and Solving Minimal Structure and Motion Problems with
Missing Data,
ICCV01(I: 628-634).
0106
Structure and motion for calibrated 1-D projections of a 2-D
environment.
BibRef
Oskarsson, M.,
Åström, K.,
Overgaard, N.C.,
Minimal Cases of Structure and Motion Problem with Missing Data for
One-dimensional retinae,
SCIA01(P-W4B).
0206
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Estimates Using 2 Frames .