Asada, M.[Minoru], and
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,
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
Reconstruction of Three-Dimensional Motions from Image Sequences,
PRIP81(88-90). BibRef 8100
Analysis of Three-Dimensional Motions in the Blocks World,
PR(17), No. 1, 1984, pp. 57-71.
Elsevier DOI 0309
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.
Elsevier DOI 0401
Structure from Motion: A Critical Analysis of Methods,
SMC(21), 1991, pp. 572-588. BibRef 9100
Model-Based Multiresolution Motion Estimation in Noisy Images,
CVGIP(59), No. 3, May 1994, pp. 307-319.
DOI Link BibRef 9405
On The Optimization Criteria Used in Two-View Motion Analysis,
PAMI(20), No. 7, July 1998, pp. 717-729.
IEEE DOI 9808
Camera Calibration. BibRef
Understanding the Relationship Between the Optimization Criteria in Two-View Motion Analysis,
IEEE DOI 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
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
Computation and Analysis of Image Motion: A Synopsis of Current Problems and Methods,
IJCV(19), No. 1, July 1996, pp. 29-55.
Springer DOI 9608
2D Motion Description and Contextual Motion Analysis: Issues and New Models,
Springer DOI 0405
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 0701
Classifying and Solving Minimal Structure and Motion Problems with Missing Data,
IEEE DOI 0106
Structure and motion for calibrated 1-D projections of a 2-D environment. BibRef
Minimal Cases of Structure and Motion Problem with Missing Data for One-dimensional retinae,
Line-Based SLAM Using Non-Overlapping Cameras in an Urban Environment,
IEICE(E101-D), No. 5, May 2018, pp. 1232-1242.
WWW Link. 1805
Earlier: A1, A3, A2:
Motion estimation for non-overlapping cameras by improvement of feature points matching based on urban 3D structure,
IEEE DOI 1512
SLAM; multi cameras; warping BibRef
Maybank, S.J., and
Ambiguity in Reconstruction from Images of Six Points,
IEEE DOI BibRef 9800
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Estimates Using 2 Frames .