Bolles, R.C.,
Baker, H.H., and
Marimont, D.H.,
Epipolar-Plane Image Analysis: An Approach to Determining
Structure from Motion,
IJCV(1), No. 1, 1987, pp. 7-56.
Springer DOI Link
Motion, Structure. The journal version of the work.
BibRef
8700
Bolles, R.C., and
Baker, H.H.,
Epipolar-Plane Image Analysis: A Technique for
Analyzing Sequences,
CVWS85(168-178).
BibRef
8500
And:
DARPA85(137-148).
BibRef
SRITechnical Note 377, February, 1986.
WWW Version.
BibRef
And:
RCV87(26-36).
BibRef
And:
A 3-D cube of data (X, Y, T). Heavy use of the epipolar plane
constraint to do "3-D" edges. Objects become lines and position
and direction of the line gives good information of the position
and motion of the objects in the scene. An extreme case of optic
flow.
BibRef
Marimont, D.H.[David H.],
Projective Duality and the
Analysis of Image Sequences,
Motion86(7-14).
An extension of Bolles and Baker to curved (known very well) paths
of the camera. The data is transformed to a straight camera path
and the motion and structure is derived. The best results were
with the synthetic data, but there is hope is enough is known.
Duality is that a line has a point as a dual and vice versa.
BibRef
8600
Allmen, M.C., and
Dyer, C.R.,
Computing Spatiotemporal
Relations for Dynamic Perceptual Organization,
CVGIP(58), No. 3, November 1993, pp. 338-351.
WWW Version.
BibRef
9311
And:
Univ. of WisconsinCS TR 1130, 1992.
Postscript Version.
BibRef
Seitz, S.M.,
Dyer, C.R.,
View Invariant Analysis of Cyclic Motion,
IJCV(25), No. 3, December 1997, pp. 231-251.
WWW Version.
9712
Postscript Version.
BibRef
Seitz, S.M.[Steven M.], and
Dyer, C.R.[Charles R.],
Cyclic Motion Analysis Using Periodic Trace,
MBR97(Chapter 4)
University of Wisconsin
BibRef
9700
Seitz, S.M.,
Dyer, C.R.,
Affine Invariant Detection of Periodic Motion,
CVPR94(970-975).
IEEE Abstract. IEEE Top Reference.
BibRef
9400
And:
Univ. of Wisconsin1225, June 1994.
Accumulate guess of periods.
WWW Version.
BibRef
Seitz, S.M.[Steven M.], and
Dyer, C.R.[Charles R.],
Detecting Irregularities in Cyclic Motion,
Non-Rigid94(178-185).
WWW Version.
BibRef
9400
Allmen, M.C., and
Dyer, C.R.,
Long-Range Spatiotemporal
Motion Understanding Using Spatiotemporal Flow Curves,
CVPR91(303-309).
IEEE Abstract. IEEE Top Reference.
BibRef
9100
And:
Cyclic Motion Detection Using Spatiotemporal Surfaces and Curves,
ICPR90(I: 365-370).
IEEE DOI Link
BibRef
And:
Computing Spatiotemporal Surface Flow,
ICCV90(47-50).
IEEE DOI Link
BibRef
Allmen, M.C.,
Image Sequence Description Using Spatiotemporal Flow Curves:
Toward Motion-Based Recognition,
Ph.D.Thesis (CS), August 1991.
BibRef
9108
Univ. of WisconsinCS TR 1040, 1991.
Postscript Version.
BibRef
Diel, D.D.[David D.],
DeBitetto, P.[Paul],
Teller, S.[Seth],
Epipolar Constraints for Vision-Aided Inertial Navigation,
Motion05(II: 221-228).
WWW Version.
0502
BibRef
Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
General Spatio-Temporal Analysis .