19 Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion

19.1 Low Level Motion, General Issues

Chapter Contents (Back)
Motion, Low Level.

Snyder, W.E.,
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Tsotsos, J.K.,
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Kolers, P.A., (Toronto),
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Nesi, P.,
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Tsotsos, J.K.[John K.],
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DOI Link 0111
Future of research in motion understanding -- combine all aspects to get the result. BibRef

Tsotsos, J.K.[John K.],
Cognitive Vision Needs Attention to Link Sensing with Recognition,
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Khellah, F., Fieguth, P.W., Murray, M.J., Allen, M.,
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Sanfeliu, A.[Alberto], Villanueva, J.J.[Juan J.],
An approach of visual motion analysis,
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Elsevier DOI 0501
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Peuquet, D.J.[Donna J.],
Theme section on advances in spatio-temporal analysis and representation,
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Elsevier DOI 0602
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MacLean, W.J.[W. James], Paragios, N.[Nikos], Fleet, D.J.[David J.],
Special issue on spatial coherence for visual motion analysis,
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Elsevier DOI 0711
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Agarwal, P.K.[Pankaj K.], Guibas, L.J.[Leonidas J.], Edelsbrunner, H.[Herbert], Erickson, J.[Jeff], Isard, M.[Michael], Har-Peled, S.[Sariel], Hershberger, J.[John], Jensen, C.[Christian], Kavraki, L.[Lydia], Koehl, P.[Patrice], Lin, M.[Ming], Manocha, D.[Dinesh], Metaxas, D.N.[Dimitris N.], Mirtich, B.[Brian], Mount, D.M.[David M.], Muthukrishnan, S., Pai, D.[Dinesh], Sacks, E.[Elisha], Snoeyink, J.[Jack], Suri, S.[Subhash], Wolefson, O.[Ouri],
Algorithmic issues in modeling motion,
Surveys(34), No. 4, December 2002, pp. 550-527.
WWW Link. Survey, Motion. 0805
BibRef

Dhome, M.[Michel],
Visual Perception Through Video Imagery,
Wiley-ISTEMarch 2009. ISBN: 978-1-84821-016-5
HTML Version. Buy this book: Visual Perception Through Video Imagery (Digital Signal and Image Processing) 0905
BibRef

Cremers, D., Rosenhahn, B., Yuille, A.L., Schmidt, F.R., Eds.,
Statistical and Geometrical Approaches to Visual Motion Analysis,
LNCS5604. 2009. ISBN: 978-3-642-03060-4 Revised papers from International Dagstuhl Seminar, Dagstuhl Castle, July 13-18, 2008, Revised Papers BibRef 0000

Wang, L., Zhao, G., Cheng, L., Pietikäinen, M., (Eds.)
Machine Learning for Vision-Based Motion Analysis: Theory and Techniques,
Springer2011, ISBN: 978-0-85729-056-4
WWW Link. 1101
Buy this book: Machine Learning for Vision-Based Motion Analysis: Theory and Techniques (Advances in Pattern Recognition) Developed from the 2 workshops. BibRef

Edison, A.[Anitha], Jiji, C.V.,
Optical Acceleration for Motion Description in Videos,
MotionRep17(1642-1650)
IEEE DOI 1709
Acceleration, Adaptive optics, Biomedical optical imaging, High-speed optical techniques, Histograms, Optical imaging, Videos BibRef


Cao, A.[Ang], Johnson, J.[Justin],
HexPlane: A Fast Representation for Dynamic Scenes,
CVPR23(130-141)
IEEE DOI 2309
BibRef

Gong, M.L.[Ming-Lun],
A GPU-based Algorithm for Estimating 3D Geometry and Motion in Near Real-time,
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IEEE DOI 0607
Hardware Implementation. BibRef

Dimov, I.[Ivan], Kornprobst, P.[Pierre], Viéville, T.[Thierry],
Could early visual processes be sufficient to label motions?,
INRIARR-5240, 2004.
HTML Version. BibRef 0400

Genc, Y.[Yakup], Ponce, J.[Jean], Leedan, Y.[Yoram], Meer, P.[Peter],
Parameterized Image Varieties and Estimation with Bilinear Constraints,
CVPR99(II: 67-72).
IEEE DOI
PS File.
See also Estimation with Bilinear Constraints in Computer Vision. BibRef 9900

Genc, Y.[Yakup], and Ponce, J.[Jean],
Parameterized Image Varieties: A Novel Approach to the Analysis and Synthesis of Image Sequences,
ICCV98(11-16).
IEEE DOI
PS File. BibRef 9800

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Psychology and Psychophysics, Human Vision for Motion .


Last update:Mar 16, 2024 at 20:36:19