16.2.1.1 Univ. of Illinois Parameter Estimation Papers

Chapter Contents (Back)
Motion, Two Frames.

Tsai, R.Y., and Huang, T.S.,
Estimating 3-D Motion Parameters of a Rigid Planar Patch I,
ASSP(29), No. 12, December 1981, pp. 1147-1152. BibRef 8112
And: PRIP81(94-97). BibRef

Tsai, R.Y., and Huang, T.S., Zhu, W.L.,
Estimating 3-D Motion Parameters of a Rigid Planar Patch II: Singular Value Decomposition,
ASSP(30), No. 8, August 1982, pp. 525-533. BibRef 8208
And:
Estimating Three-Dimensional Motion Parameters of a Rigid Planar Patch, III: Finite Point Correspondences and the Three-View Problem,
ASSP(32), 1984, pp. 213-220. BibRef

Tsai, R.Y., and Huang, T.S.,
Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces,
PAMI(6), No. 1, January 1984, pp. 13-27. BibRef 8401
Earlier: PRIP82(112-118). BibRef
And:
Uniqueness and Estimation of 3-D Motion Parameters and Surface Structures of Rigid Objects,
IU84(135-171). Motion, Rigidity Constraint. Seven point correspondences from 2 perspective views gives 3-D motion. Parameters are derived from 8 pairs and unique. See also Non-Rigid Object Motion and Deformation Estimation for Three-Dimensional Data. BibRef

Lee, C.H.[Chia-Hoang],
Time-Varying Images: The Effect of Finite Resolution on Uniqueness,
CVGIP(54), No. 3, November 1991, pp. 325-332.
Elsevier DOI States that the Tsai and Huang ( See also Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces. ) conclusion is not right if finite resolution is assumed and that 10% error in the result is the best one can do. Suggests the use of a rotational matrix for testing robustness. BibRef 9111

Huang, T.S., and Faugeras, O.D.,
Some Properties of the E Matrix in Two-View Motion Estimation,
PAMI(11), No. 12, December 1989, pp. 1310-1312.
IEEE DOI Motion, Estimation Evaluation. Analysis of the E matrix used in the 8 point estimation algorithm. BibRef 8912

Fang, J.Q., and Huang, T.S.,
Some Experiments on Estimating the 3-D Motion Parameters of a Rigid Body from Two Consecutive Image Frames,
PAMI(6), No. 5, September 1984, pp. 545-554. BibRef 8409
Earlier:
Estimating 3-D Movement of a Rigid Object: Experimental Results,
IJCAI83(1033-1037). (Illinois) Several factors relating to the accuracy of the motion results. Includes subpixel accuracy of corner locations, and matching problems. BibRef

Fang, J.Q., and Huang, T.S.,
Solving Three-Dimensional Small-Rotation Motion Equations: Uniqueness, Algorithms, and Numerical Results,
CVGIP(26), No. 2, May 1984, pp. 183-206.
Elsevier DOI BibRef 8405
Earlier:
Solving Three-Dimensional Small-Rotation Motion Equations,
CVPR83(253-258). 9 points not on a second order surface through the viewpoint from the two views gives the motion equations. Iterative solutions of non-linear equations. BibRef

Yen, B.L., and Huang, T.S.,
Determining 3-D Motion and Structure of a Rigid Body Using the Spherical Projection,
CVGIP(21), No. 1, January 1983, pp. 21-32.
Elsevier DOI BibRef 8301
Earlier: PRIP82(599-604). BibRef

Weng, J.Y.[Ju-Yang], Huang, T.S., and Ahuja, N.,
3-D Motion Estimation, Understanding, and Prediction from Noisy Image Sequences,
PAMI(9), No. 3, May 1987, pp. 370-389. BibRef 8705
Earlier: A2, A1, A3:
3-D Motion from Image Sequences: Modeling, Understanding and Prediction,
Motion86(125-130). Points. I think he said that given the Rotation and Translation for each pair, this derives the general motion (precessional motion) for the object. See also Motion and Structure from Two Perspective Views: Algorithms, Error Analysis, and Error Estimation. See also Optimal Motion and Structure Estimation. See also Motion and Structure Estimation from Stereo Image Sequences. BibRef

Weng, J.J., and Huang, T.S.,
3-D Motion Analysis from Image Sequences Using Point Correspondences,
HPRCV97(Chapter II:5). (Univ. Illinois) BibRef 9700

Gambotto, J.P., Huang, T.S.,
Motion Analysis of Isolated Targets in Infrared Image Sequences,
PRL(5), 1987, pp. 357-363. BibRef 8700
Earlier: ICPR84(534-537). BibRef


Tsai, R.Y.[Roger Y.],
3-D Inference from the Motion Parallax of a Conic Arc and a Point in Two Perspective Views,
IJCAI83(1038-1042). Given two matching segments (partial views of each?) derive the motion parameters. Theory, no image results. BibRef 8300

Tsai, R.Y.,
Estimating 3-D Motion Parameters and Object Surface Structures from the Image Motion of Curved Edges,
CVPR83(259-266). BibRef 8300

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Estimates Using 3 Frames .


Last update:Sep 25, 2017 at 16:36:46