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Epipolar-Plane Image Analysis: An Approach to Determining
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IJCV(1), No. 1, 1987, pp. 7-56.
Springer DOI
Motion, Structure. The journal version of the work.
BibRef
8700
Bolles, R.C., and
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Epipolar-Plane Image Analysis: A Technique for
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CVWS85(168-178).
BibRef
8500
And:
DARPA85(137-148).
BibRef
SRITechnical Note 377, February, 1986.
WWW Link.
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.
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8600
Allmen, M.C., and
Dyer, C.R.,
Computing Spatiotemporal
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CVGIP(58), No. 3, November 1993, pp. 338-351.
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9311
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Univ. of WisconsinCS TR 1130, 1992.
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9712
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Cyclic Motion Analysis Using Periodic Trace,
MBR97(Chapter 4)
University of Wisconsin
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9700
Seitz, S.M.,
Dyer, C.R.,
Affine Invariant Detection of Periodic Motion,
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IEEE DOI
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Univ. of Wisconsin1225, June 1994.
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Allmen, M.C., and
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Long-Range Spatiotemporal
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CVPR91(303-309).
IEEE DOI
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9100
And:
Cyclic Motion Detection Using Spatiotemporal Surfaces and Curves,
ICPR90(I: 365-370).
IEEE DOI
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And:
Computing Spatiotemporal Surface Flow,
ICCV90(47-50).
IEEE DOI
BibRef
Allmen, M.C.,
Image Sequence Description Using Spatiotemporal Flow Curves:
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Ph.D.Thesis (CS), August 1991.
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9108
Univ. of WisconsinCS TR 1040, 1991.
PS File.
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Adams, T.,
Continuous, Full-scope, Spatio-temporal Tracking Metric based on
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IEEE DOI
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Entropy, Object tracking, Measurement uncertainty, Video tracking,
Standards, Event detection
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Brahim, K.[Khawla],
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Spatio-temporal saliency detection using objectness measure,
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Springer DOI
1908
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Choi, C.[Changlock],
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MDST-DBSCAN: A Density-Based Clustering Method for Multidimensional
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2106
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Liang, Y.J.[Yan-Jie],
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Joint Spatio-Temporal Similarity and Discrimination Learning for
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CirSysVideo(34), No. 8, August 2024, pp. 7284-7300.
IEEE DOI
2408
Target tracking, Location awareness, Correlation, Visualization,
Learning systems, Transformers,
adaptive response map fusion
BibRef
Wang, Z.W.[Zihao W.],
Duan, P.Q.[Pei-Qi],
Cossairt, O.[Oliver],
Katsaggelos, A.K.[Aggelos K.],
Huang, T.J.[Tie-Jun],
Shi, B.X.[Bo-Xin],
Joint Filtering of Intensity Images and Neuromorphic Events for
High-Resolution Noise-Robust Imaging,
CVPR20(1606-1616)
IEEE DOI
2008
Cameras, Image edge detection, Spatial resolution,
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Liu, X.M.[Xiao-Min],
A New Approach for the Camera Motion Extraction from Texture Images
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CISP09(1-4).
IEEE DOI
0910
BibRef
Leotta, M.J.[Matthew J.],
Mundy, J.L.[Joseph L.],
Epipolar Curve Tracking in 3-D,
ICIP07(VI: 325-328).
IEEE DOI
0709
BibRef
Diel, D.D.[David D.],
DeBitetto, P.[Paul],
Teller, S.[Seth],
Epipolar Constraints for Vision-Aided Inertial Navigation,
Motion05(II: 221-228).
IEEE DOI
0502
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
General Spatio-Temporal Analysis .