Yachida, M.[Masahiko],
Determining Velocity Maps by Spatio-Temporal Neighborhoods from
Image Sequences,
CVGIP(21), No. 2, February 1983, pp. 262-279.
WWW Version.
BibRef
8302
Earlier:
Determining Velocity Map by 3-D Iterative Estimation,
IJCAI81(716-718).
BibRef
Zucker, S.W.,
Iverson, L.,
From Orientation Selection to Optical Flow,
CVGIP(37), No. 2, February 1987, pp. 196-220.
WWW Version.
BibRef
8702
Earlier: A2, A1:
Orientation Selection to Optical Flow: A Computational Perspective,
CVWS87(184-189).
BibRef
Iverson, L.,
Toward Discrete Geometric Models for Early Vision,
Ph.D.Thesis, June, 1994. McGill University.
Relaxation. Texture flow.
Postscript:
Postscript Version. or
Tar file with separate chapters:
WWW Version.
BibRef
9406
Lee, D.N.,
The Optical Flow Field: The Foundation of Vision,
Royal(B-290), 1980, pp. 169-179.
BibRef
8000
And:
No title available, but it is different.
Perception(5), 1976, pp. 437-xx.
BibRef
Labuz, J.,
Schalkoff, R.J.,
New Results Using an Integrated Model and Recursive Algorithm for
Image Motion Estimation,
PRL(2), 1984, pp. 179-183.
BibRef
8400
Schalkoff, R.J.,
Labuz, J.,
An Integrated Spatio-Temporal Model and Recursive Algorithm for
Image Motion Estimation,
ICPR84(530-533).
BibRef
8400
Aisbett, J.[Janet],
Optical Flow with an Intensity-Weighted Smoothing,
PAMI(11), No. 5, May 1989, pp. 512-522.
IEEE Abstract. IEEE Top Reference.
WWW Version. Gradient based approach with only the intensity gradient as a
derivative. Performs better when images have NO strong texture.
BibRef
8905
Driessen, J.N.,
Boroczky, L.,
Biemond, J.,
Pel-Recursive Motion Field Estimation from Image Sequences,
JVCIR(2), 1991, pp. 259-280.
BibRef
9100
Fogel, S.V.,
The Estimation of Velocity Vector Fields from
Time-Varying Image Sequences,
CVGIP(53), No. 3, May 1991, pp. 253-287.
WWW Version.
BibRef
9105
And:
Erratum:
CVGIP(54), No. 3, November 1991, pp. 431-432.
WWW Version.
BibRef
Earlier:
Implementation of a Nonlinear Approach to the
Motion Correspondence Problem,
Motion89(87-98). Implementation issues for the earlier:
BibRef
A Nonlinear Approach to the Motion Correspondence Problem,
ICCV88(619-628).
IEEE Abstract. IEEE Top Reference. Combining the optical flow constraints (relating image
values) and directional smoothness constraints to get better estimates. There
is a lot of derivation of the technique.
BibRef
Shvaytser, H.[Haim],
Occam Algorithms for Computing Visual-Motion,
PAMI(17), No. 11, November 1995, pp. 1033-1042.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9511
Earlier:
ICCV93(551-555).
WWW Version. The best predictor is the simplest, defined in terms of encoding length.
BibRef
Vaidya, V.G.,
Haralick, R.M.,
Wigner Distribution for 2D Motion Estimation from Noisy Images,
JVCIR(4), 1993, pp. 281-297.
BibRef
9300
Huang, C.L.,
Chen, Y.T.,
Motion Estimation Method Using a 3D Steerable Filter,
IVC(13), No. 1, February 1995, pp. 21-32.
WWW Version.
BibRef
9502
Chen, T.W.[Tsu Wang], and
Lin, W.C.[Wei Chung],
Chen, C.T.,
Artificial Neural Networks for 3-D Motion Analysis I: Rigid Motion,
TNN(6), No. 6, November 1995, pp. 1386-1393.
BibRef
9511
And:
Artificial Neural Networks for 3-D Motion Analysis II: Nonrigid Motion,
TNN(6), No. 6, November 1995, pp. 1394-1401.
See also Neural-Network Approach to CSG-Based 3-D Object Recognition, A.
BibRef
Sayrol, E.,
Gasull, A.,
Fonollosa, J.R.,
Motion Estimation Using Higher-Order Statistics,
IP(5), No. 6, June 1996, pp. 1077-1084.
WWW Version.
9607
BibRef
Anderson, J.M.M.,
Giannakis, G.B.,
Image Motion Estimation Algorithms Using Cumulants,
IP(4), No. 3, March 1995, pp. 346-357.
WWW Version.
BibRef
9503
Kirchner, H.,
Niemann, H.,
Finite Element Method for Determination of Optical Flow,
PRL(13), 1992, pp. 131-141.
BibRef
9200
Strintzis, M.G.,
Kokkinidis, I.,
Maximum-Likelihood Motion Estimation in Ultrasound Image Sequences,
SPLetters(4), No. 6, June 1997, pp. 156-157.
IEEE Top Reference.
9706
BibRef
Rakshit, S.,
Anderson, C.H.,
Computation of Optical-Flow Using Basis Functions,
IP(6), No. 9, September 1997, pp. 1246-1254.
WWW Version.
9709
BibRef
Spinei, A.,
Pellerin, D.,
Herault, J.,
Spatiotemporal Energy-Based Method for Velocity Estimation,
SP(65), No. 3, March 1998, pp. 347-362.
9806
BibRef
Vernon, D.[David],
Computation of instantaneous optical flow using the phase of Fourier
components,
IVC(17), No. 3/4, March 1999, pp. 189-199.
WWW Version.
BibRef
9903
Earlier:
Decoupling Fourier Components of Dynamic Image Sequences:
A Theory of Signal Separation, Image Segmentation, and
Optical Flow Estimation,
ECCV98(II: 69).
WWW Version.
BibRef
Gray, W.S.,
Nabet, B.,
Volterra Series Analysis and Synthesis of a Neural Network for Velocity
Estimation,
SMC-B(29), No. 2, April 1999, pp. 190.
BibRef
9904
Li, H.D.[Hong-Dong],
Liu, J.L.[Ji-Lin],
Gu, W.[Weikang],
A new and fast approach for DPIV using an incompressible affine flow
model,
MVA(11), No. 5, 2000, pp. 252-256.
HTML Version.
0004
BibRef
Yao, J.C.[Jian-Chao],
Estimation of 2D Displacement Field Based on Affine Geometric
Invariance and Scene Constraints,
IJCV(46), No. 1, January 2002, pp. 25-50.
WWW Version.
0201
BibRef
Earlier:
Estimation of 2D Motion Field Based on Affine Geometric Invariance,
ICPR00(Vol III: 1037-1040).
WWW Version.
0009
BibRef
Earlier:
Motion Blur Identification Based on Phase Change Experienced After
Trial Restorations,
ICIP99(I:180-184).
IEEE Abstract. IEEE Top Reference.
BibRef
Yao, J.C.[Jian-Chao],
Dynamic Vision in the Dynamic Scene: An Algebraic Approach,
ICARCV06(1-6).
WWW Version.
0612
BibRef
Chen, L.F.[Li-Fen],
Liao, H.Y.M.[Hong-Yuan Mark],
Lin, J.C.[Ja-Chen],
Wavelet-based Optical Flow Estimation,
CirSysVideo(12), No. 1, January 2002, pp. 1-12.
IEEE Top Reference.
0202
BibRef
Earlier: A1, A3, A2:
ICPR00(Vol III: 1056-1059).
WWW Version.
WWW Version.
HTML Version.
0009
BibRef
Foroosh, H.[Hassan], and
Hoge, W.S.[W. Scott],
Motion Information in the Phase Domain,
VideoRegister03(Chapter 3).
BibRef
0300
Barcelos, C.A.Z.,
Boaventura, M.,
Silva, Jr., E.C.,
A well-balanced flow equation for noise removal and edge detection,
IP(12), No. 7, July 2003, pp. 751-763.
WWW Version.
0308
BibRef
Lai, S.H.[Shang-Hong],
Computation of optical flow under non-uniform brightness variations,
PRL(25), No. 8, June 2004, pp. 885-892.
WWW Version.
0405
BibRef
Teng, C.H.[Chin-Hung],
Lai, S.H.[Shang-Hong],
Chen, Y.S.[Yung-Sheng],
Hsu, W.H.[Wen-Hsing],
Accurate optical flow computation under non-uniform brightness
variations,
CVIU(97), No. 3, March 2005, pp. 315-346.
WWW Version.
0412
BibRef
Earlier:
Robust computation of optical flow under non-uniform illumination
variations,
ICPR02(I: 327-330).
WWW Version.
0211
BibRef
Condell, J.V.[Joan V.],
Scotney, B.W.[Bryan W.],
Morrow, P.J.[Philip J.],
Adaptive Grid Refinement Procedures for Efficient Optical Flow
Computation,
IJCV(61), No. 1, January 2005, pp. 31-54.
WWW Version.
0410
BibRef
Earlier:
Evaluation of Uniform and Non-uniform Optical Flow Techniques Using
Finite Element Methods,
DAGM03(116-123).
HTML Version.
0310
BibRef
Earlier:
Estimation of Motion through Inverse Finite Element Methods with
Triangular Meshes,
CAIP01(333 ff.).
HTML Version.
0210
BibRef
Condell, J.V.[Joan V.],
Scotney, B.W.[Bryan W.],
Morrow, P.J.[Philip J.],
Adaptive vs. non-adaptive strategies for the computation of optical
flow,
IJIST(16), No. 2, 2006, pp. 35-50.
WWW Version.
0703
BibRef
And:
The Effect of Presmoothing Image Sequences on the Computation of
Optical Flow,
ICIAR06(I: 780-791).
WWW Version.
0610
BibRef
Foroosh, H.[Hassan],
Pixelwise-Adaptive Blind Optical Flow Assuming Nonstationary Statistics,
IP(14), No. 2, February 2005, pp. 222-230.
WWW Version.
0501
BibRef
Earlier:
An adaptive scheme for estimating motion,
ICIP04(III: 1831-1834).
WWW Version.
0505
BibRef
Foroosh, H.,
A Closed-form Solution for Optical Flow by Imposing Temporal
Constraints,
ICIP01(III: 656-659).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Coimbra, M.T.,
Davies, M.,
Approximating Optical Flow Within the MPEG-2 Compressed Domain,
CirSysVideo(15), No. 1, January 2005, pp. 103-107.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Trucco, E.,
Tommasini, T.,
Roberto, V.,
Near-recursive optical flow from weighted image differences,
SMC-B(35), No. 1, February 2005, pp. 124-129.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Trucco, E.,
Viel, F.,
Roberto, V.,
Near-recursive optical flow from disturbance fields,
BMVC02(Poster Session).
0208
BibRef
Papenberg, N.[Nils],
Bruhn, A.[Andrés],
Brox, T.[Thomas],
Didas, S.[Stephan],
Weickert, J.[Joachim],
Highly Accurate Optic Flow Computation with Theoretically Justified
Warping,
IJCV(67), No. 2, April 2006, pp. 141-158.
WWW Version.
0605Grey value constancy, and gradient constancy, and the constancy of
the Hessian and the Laplacian.
BibRef
Brox, T.[Thomas],
Bruhn, A.[Andrés],
Papenberg, N.[Nils],
Weickert, J.[Joachim],
High Accuracy Optical Flow Estimation Based on a Theory for Warping,
ECCV04(Vol IV: 25-36).
WWW Version.
0405
BibRef
Brox, T.[Thomas],
Rosenhahn, B.[Bodo],
Cremers, D.[Daniel],
Seidel, H.P.[Hans-Peter],
High Accuracy Optical Flow Serves 3-D Pose Tracking:
Exploiting Contour and Flow Based Constraints,
ECCV06(II: 98-111).
WWW Version.
0608
BibRef
Rosenhahn, B.[Bodo],
Brox, T.[Thomas],
Cremers, D.[Daniel],
Seidel, H.P.[Hans-Peter],
A Comparison of Shape Matching Methods for Contour Based Pose
Estimation,
IWCIA06(263-276).
WWW Version.
0606
BibRef
Brox, T.[Thomas],
Rosenhahn, B.[Bodo],
Cremers, D.[Daniel],
Seidel, H.P.[Hans-Peter],
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for
Human Motion Tracking,
HUMO07(152-165).
WWW Version.
0710
BibRef
Brox, T.[Thomas],
Rosenhahn, B.[Bodo],
Kersting, U.G.[Uwe G.],
Cremers, D.[Daniel],
Nonparametric Density Estimation for Human Pose Tracking,
DAGM06(546-555).
WWW Version.
0610
BibRef
Rosenhahn, B.,
Kersting, U.G.,
Smith, A.W.,
Gurney, J.K.,
Brox, T.,
Klette, R.,
A System for Marker-Less Human Motion Estimation,
DAGM05(230).
WWW Version.
0509
BibRef
Brox, T.,
Weickert, J.,
Nonlinear Matrix Diffusion for Optic Flow Estimation,
DAGM02(446 ff.).
HTML Version.
0303
BibRef
Gong, M.L.[Ming-Lun],
Yang, Y.H.[Yee-Hong],
Estimate Large Motions Using the Reliability-Based Motion Estimation
Algorithm,
IJCV(68), No. 3, July 2006, pp. 319-330.
WWW Version.
0606
BibRef
Earlier:
Estimate Large Motions Using Reliability-Based Dynamic Programming,
ICIP04(IV: 2559-2562).
WWW Version.
0505 See also Real-Time Stereo Matching Using Orthogonal Reliability-Based Dynamic Programming.
BibRef
Gong, M.L.[Ming-Lun],
Motion estimation using dynamic programming with selective path search,
ICPR04(IV: 203-206).
WWW Version.
0409
BibRef
Makadia, A.[Ameesh],
Daniilidis, K.[Kostas],
Rotation Recovery from Spherical Images without Correspondences,
PAMI(28), No. 7, July 2006, pp. 1170-1175.
WWW Version.
0606
BibRef
Earlier:
Direct 3D-rotation estimation from spherical images via a generalized
shift theorem,
CVPR03(II: 217-224).
IEEE Abstract. IEEE Top Reference.
0307Mapping of omnidirectional image to sphere. Rotational camera motion analysis
through generalized Fourier transform method.
See also Correspondence-free Structure from Motion.
BibRef
Daniilidis, K.,
Makadia, A.,
Bulow, T.,
Image processing in catadioptric planes: spatiotemporal derivatives and
optical flow computation,
OMNIVIS02(3-10).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Makadia, A.,
Sorgi, L.,
Daniilidis, K.,
Rotation estimation from spherical images,
ICPR04(III: 590-593).
WWW Version.
0409 See also Normalized Cross-Correlation for Spherical Images.
BibRef
Tagliasacchi, M.[Marco],
A genetic algorithm for optical flow estimation,
IVC(25), No. 2, February 2007, pp. 141-147.
WWW Version.
0701Optical flow; Genetic algorithms; Motion estimation
BibRef
Feigin, M.[Micha],
Sochen, N.A.[Nir A.],
Vemuri, B.C.[Baba C.],
Efficient anisotropic ?-Kernels decompositions and flows,
Tensor08(1-8).
WWW Version.
0806
BibRef
Fashandi, H.[Homa],
Fazel-Rezai, R.[Reza],
Pistorius, S.[Stephen],
Optical Flow and Total Least Squares Solution for Multi-scale Data in
an Over-Determined System,
ISVC07(II: 33-42).
WWW Version.
0711
BibRef
Fahad, A.[Ahmed],
Morris, T.[Tim],
Multiple Combined Constraints for Optical Flow Estimation,
ISVC07(II: 11-20).
WWW Version.
0711
BibRef
Faisal, M.[Mohammad],
Barron, J.L.[John L.],
High Accuracy Optical Flow Method Based on a Theory for Warping:
Implementation and Qualitative/Quantitative Evaluation,
ICIAR07(513-525).
WWW Version.
0708
BibRef
Dong, G.[Gang],
Baskin, T.I.,
Palaniappan, K.,
Motion Flow Estimation from Image Sequences with Applications to
Biological Growth and Motility,
ICIP06(1245-1248).
0610
WWW Version.
BibRef
Lu, Z.Q.[Zong-Qing],
Xie, W.X.[Wei-Xin],
A PDE-Based Method For Optical Flow Estimation,
ICPR06(II: 78-81).
WWW Version.
0609
BibRef
Sun, Z.H.[Zhao-Hui],
A Three-Frame Approach to Constraint-Consistent Motion Estimation,
ICPR06(I: 35-38).
WWW Version.
0609
BibRef
Wang, H.Y.[Hai-Yun],
Ma, K.K.[Kai-Kuang],
Accurate Optical Flow Estimation in Noisy Sequences by Robust
Tensor-driven Anisotropic Diffusion,
ICIP05(III: 1292-1295).
WWW Version.
0512
BibRef
Karantzalos, K.,
Paragios, N.,
Higher Order Polynomials, Free Form Deformations and Optical
Flow Estimation,
ICIP05(III: 1280-1283).
WWW Version.
0512
BibRef
Kim, J.[Jangheon],
Sikora, T.,
Hybrid Recursive Energy-based Method for Robust Optical Flow on Large
Motion Fields,
ICIP05(I: 129-132).
WWW Version.
0512
BibRef
Willert, V.[Volker],
Eggert, J.[Julian],
Clever, S.[Sebastian],
Körner, E.[Edgar],
Probabilistic Color Optical Flow,
DAGM05(9).
WWW Version.
0509
BibRef
Hamid, R.,
Bobick, A.,
Yezzi, A.,
Audio-visual flow:
A variational approach to multi-modal flow estimation,
ICIP04(IV: 2563-2566).
WWW Version.
0505
BibRef
Stein, F.[Fridtjof],
Efficient Computation of Optical Flow Using the Census Transform,
DAGM04(79-86).
WWW Version.
0505
BibRef
Myerscough, P.J.,
Guiding Optical Flow Estimation,
BMVC03(xx-yy).
HTML Version.
0409
BibRef
Goncalves, N.[Nuno],
Araujo, H.[Helder],
Linear solution for the pose estimation of noncentral catadioptric
systems,
OMNIVIS07(1-7).
WWW Version.
0710
BibRef
Earlier:
Projection model, 3D reconstruction and rigid motion estimation from
non-central catadioptric images,
3DPVT04(325-332).
IEEE Abstract. IEEE Top Reference.
0412
BibRef
And:
Rigid motion estimation from non-central catadioptric images,
ICPR04(IV: 268-271).
WWW Version.
0409
See also Fitting conics to paracatadioptric projections of lines.
BibRef
Gupta, D.,
Daniilidis, K.,
Planar motion of a parabolic catadioptric camera,
ICPR04(IV: 68-71).
WWW Version.
0409
BibRef
Ying, X.H.[Xiang-Hua],
Hu, Z.Y.[Zhan-Yi],
Spherical objects based motion estimation for catadioptric cameras,
ICPR04(III: 231-234).
WWW Version.
0409
BibRef
Eriksson, M.,
Carlsson, S.,
Maximizing validity in 2d motion analysis,
ICPR04(II: 179-183).
WWW Version.
0409
BibRef
Stratmann, I.,
Omnidirectional imaging and optical flow,
OMNIVIS02(104-111).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Coquin, D.,
Bolon, P.,
A new method to compute the distortion vector field from two images,
ICPR02(I: 279-282).
WWW Version.
0211
BibRef
Barron, J.L.,
Klette, R.,
Quantitative color optical flow,
ICPR02(IV: 251-255).
WWW Version.
0211
BibRef
Auclair-Fortier, M.F.,
Poulin, P.,
Ziou, D.,
Allili, M.,
A computational algebraic topology approach for optical flow,
ICPR02(I: 352-355).
WWW Version.
0211
BibRef
Makhervaks, V.,
Barequet, G.,
Bruckstein, A.M.,
Image flows and one-liner graphical image representation,
ICPR02(I: 640-643).
WWW Version.
0211
BibRef
Lim, S.,
El Gamal, A.,
Optical Flow Estimation Using High Frame Rate Sequences,
ICIP01(II: 925-928).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Baumela, L.,
de Agapito, L.,
Bustos, P.,
Reid, I.D.,
Motion Estimation Using the Differential Epipolar Equation,
ICPR00(Vol III: 840-843).
WWW Version.
HTML Version.
HTML Version.
0009
BibRef
Yao, J.,
Visual Motion Estimation Via Second Order Cone Programming,
ICIP00(Vol III: 604-607).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Chen, L.,
A Novel Affine Invariant Feature Set and Its Application in Motion
Estimation,
ICIP00(Vol III: 612-615).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Roy, S.[Sebastien],
Govindu, V.[Venu],
MRF Solutions for Probabilistic Optical Flow Formulations,
ICPR00(Vol III: 1041-1047).
WWW Version.
HTML Version.
0009
BibRef
Qiu, M.L.[Mao-Lin],
Computing Optical Flow Based on the Mass-conserving Assumption,
ICPR00(Vol III: 1029-1032).
WWW Version.
HTML Version.
0009
BibRef
Kristoffersen, E.,
Austvoll, I.,
Engan, K.,
Dense Motion Field Estimation Using Spatial Filtering and Quasi
Eigenfunction Approximations,
ICIP05(III: 1268-1271).
WWW Version.
0512
BibRef
Austvoll, I.,
Directional Filters and a New Structure for Estimation of Optical Flow,
ICIP00(Vol II: 574-577).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Clocksin, W.,
A New Method for Computing Optical Flow,
BMVC00(xx-yy).
PDF Version.
0009
BibRef
Socolinsky, D.A.[Diego A.],
Wolff, L.B.[Lawrence B.],
Multispectral Optic Flow,
DARPA98(755-760).
See also Multispectral image visualization through first-order fusion.
BibRef
9800
Lundberg, A.J.[Andrew J.],
Wolff, L.B.[Lawrence B.],
Optic Flow Estimation from 3D Wavelet Edge Detection,
DARPA97(375-378).
BibRef
9700
Mester, R.,
Mühlich, M.,
Improving Motion and Orientation Estimation Using an Equilibrated Total
Least Squares Approach,
ICIP01(II: 929-932).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Earlier: A2, A1:
The role of total least squares in motion analysis,
ECCV98(II: 305).
WWW Version.
BibRef
Sporring, J.[Jon], and
Nielsen, M.[Mads],
Direct estimation of First Order Optic Flow,
TAIA95(225-238).
First order optic flow using Lie derivatives to
make spatial filters where the flow is measured as Fourier phase
shift.
BibRef
9500
Kothari, R., and
Bellando, J.,
Optical Flow Determination Using Topology Preserving Mappings,
ICIP97(III: 344-347).
WWW Version.
BibRef
9700
Giaccone, P.R.,
Greenhill, D.R., and
Jones, G.A.,
Recovering Very Large Visual Motion Fields,
SCIA97(xx-yy)
9705
HTML Version.
BibRef
Arnspang, J.,
Optic Acceleration,
ICCV88(364-373).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Rougee, A.,
Levy, B.C.,
Willsky, A.S.,
Reconstruction of Two-Dimensional Velocity Fields as a
Linear Estimation Problem,
ICCV87(646-650).
BibRef
8700
Lai, J.,
Gauch, J., and
Crisman, J.,
Using Color to Computer Optical Flow,
SPIE(2056), 1993, pp. 186-194.
BibRef
9300
Cooper, D.H.[David H.],
Madsen, B.R.[Bo René],
Graham, J.[Jim],
Estimating Motion in Ultrasound Images of the Small Bowel:
Optical Flow without Image Structure,
SCIA03(571-578).
WWW Version.
0310
BibRef
Cooper, D.H., and
Graham, J.,
Estimating Motion in Noisy, Textured Images:
Optical Flow in Medical Ultrasound,
BMVC96(Poster Session 2).
9608University of Manchester
BibRef
Lee, D.,
Papageorgiou, A., and
Wasilkowski, G.W.,
Computing Optical Flow,
Motion89(99-106).
BibRef
8900
Earlier:
Computational Aspects of Determining Optical Flow,
ICCV88(612-618).
IEEE Abstract. IEEE Top Reference. A study of some aspects (quote from abstract).
BibRef
Blicher, A.P.[A. Peter], and
Omohundro, S.M.[Stephen M.],
Unique Recovery of Motion and Optic Flow Via Lie Algebras,
IJCAI85(889-891).
An abstract method that shows rigid 3D motion recovery is possible
from the time derivative of smooth
monochrome image at 6 points, or 2 points for color.
BibRef
8500
Rodrigues, V.,
Castan, S., and
Pailhes, L.M.,
Displacement Vector Field Computation by Temporal Covariance Model,
CVPR85(212-214). (Laboratoire CERFIA) Preliminary.
BibRef
8500
Huang, L.Q.,
Aloimonos, Y.,
How Normal Flow Constrains Relative Depth for an Active Observer,
IVC(12), No. 7, September 1994, pp. 435-445.
WWW Version.
BibRef
9409
Earlier:
Relative Depth from Motion Using Normal Flow:
An Active and Purposive Solution,
Motion91(196-204).
You can get relative information without computing optical flow.
BibRef
Huang, L.,
Aloimonos, Y.,
The geometry of visual interception,
CVPR92(741-743).
IEEE Abstract. IEEE Top Reference.
0403
BibRef
Nelson, R.C., and
Aloimonos, Y.,
Obstacle Avoidance Using Flow Field Divergence,
PAMI(11), No. 10, October 1989, pp. 1102-1106.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8910
Earlier:
Using Flow Field Divergence for Obstacle Avoidance:
Towards Qualitative Vision,
ICCV88(188-196).
IEEE Abstract. IEEE Top Reference. Flow field divergence is a clue to obstacles. Simple system.
Terrible bibliography with many errors in it.
BibRef
Nelson, R.C., and
Aloimonos, Y.,
Finding Motion Parameters from Spherical Flow Fields (or the
Advantages of Having Eyes in the Back of Your Head),
BioCyber(58), 1988, pp. 261-273.
BibRef
8800
Earlier:
CVWS87(145-150).
If you have more information than is physically
possible then you can solve some problems.
BibRef
Gharavi, H., and
Mills, M.,
Block Matching Motion Estimation Algorithms: New Results,
CirSys(37), No. 5, May 1990, pp. 649-651.
IEEE Top Reference.
BibRef
9005
Magarey, J.[Julian],
Kingsbury, N.G.[Nick G.],
Motion Estimation Using A Complex-Valued Wavelet Transform,
TSP(46), No. 4, April 1998, pp. 1069-1084.
9804
BibRef
Earlier:
An Improved Motion Estimation Algorithm Using Complex Wavelets,
ICIP96(I: 969-972).
WWW Version.
BibRef
Magarey, J.[Julian],
Kokaram, A.[Anil],
Kingsbury, N.[Nick],
Robust motion estimation using chrominance information in colour image
sequences,
CIAP97(I: 486-493).
WWW Version.
9709
BibRef
And:
Optimal Schemes for Motion Estimation on Colour Image Sequences,
ICIP97(II: 187-190).
WWW Version.
9710
BibRef
Young, R.W.,
Kingsbury, N.G.,
Frequency Domain Motion Estimation Using a Complex Lapped Transform,
IP(2), No. 1, January 1993, pp. 2-17.
WWW Version.
BibRef
9301
Efstratiadis, S.N.,
Katsaggelos, A.K.,
An Adaptive Regularized Recursive Displacement Estimation Algorithm,
IP(2), No. 3, July 1993, pp. 341-352.
WWW Version.
BibRef
9307
Zhang, J.,
Hanauer, G.G.,
The Application of Mean-Field Theory to Image Motion Estimation,
IP(4), No. 1, January 1995, pp. 19-33.
WWW Version.
BibRef
9501
Li, W.,
Salari, E.,
Successive Elimination Algorithm for Motion Estimation,
IP(4), No. 1, January 1995, pp. 105-107.
WWW Version.
BibRef
9501
Jong, C.M.,
Salari, E.,
Analysis of Image Deformation under Orthographic Projection and
Flow Parameter Estimation,
PR(22), No. 3, 1989, pp. 309-315.
WWW Version.
BibRef
8900
Nomura, A.,
Miike, H.,
Koga, K.,
Field Theory Approach for Determining Optical Flow,
PRL(12), 1991, pp. 183-190.
BibRef
9100
Nomura, A.,
Miike, H.,
Koga, K.,
Determining Motion Fields Under Nonuniform Illumination,
PRL(16), No. 3, March 1995, pp. 285-296.
BibRef
9503
Nomura, A.[Atsushi],
Spatio-temporal optimization method for determining motion vector
fields under non-stationary illumination,
IVC(18), No. 12, September 2000, pp. 939-950.
WWW Version.
0008
BibRef
Earlier:
Integral based approach for determining motion vector fields,
CIAP97(I: 462-469).
WWW Version.
9709
BibRef
Cropper, S.J.,
Derrington, A.M.,
Detection and Motion Detection in Chromatic and Luminance Beats,
JOSA-A(13), No. 3, March 1996, pp. 401-407.
BibRef
9603
Wang, R.Y.,
A Network Model for the Optic Flow Computation of the MST Neurons,
NeurNet(9), No. 3, April 1996, pp. 411-426.
9605
BibRef
Srinivasan, S.[Sridhar],
Chellappa, R.[Rama],
Noise-resilient estimation of optical flow by use of overlapped basis
functions,
JOSA-A(16), No. 3, March 1999, pp. 493-507.
BibRef
9903
Earlier:
Optical Flow Using Overlapped Basis Functions for Solving Global Motion
Problems,
ECCV98(II: 288).
WWW Version.
BibRef
Earlier:
Robust Modeling and Estimation of Optical Flow with Overlapped Basis
Functions,
UMDTR3721, December 1996.
WWW Version.
WWW Version.
BibRef
Srinivasan, S.,
Chellappa, R.,
An Integrated Approach to Image Stabilization,
Mosaicking and Super-Resolution,
DARPA97(247-254).
BibRef
9700
And:
Image Stabilization and Mosaicking Using the Overlapped Basis
Optical Flow Field,
ICIP97(III: 356-359).
WWW Version.
BibRef
Liu, H.C.[Hong-Che],
Hong, T.H.[Tsai-Hong],
Herman, M.,
Chellappa, R.,
A Generalized Motion Model for Estimating Optical Flow
Using 3-D Hermite Polynomials,
ICPR94(A:361-366).
WWW Version.
BibRef
9400
Rekleitis, I.M.,
Optical flow recognition from the power spectrum of a single blurred
image,
ICIP96(III: 791-794).
WWW Version.
9610
BibRef
Davis, C.Q.,
Karu, Z.Z.,
Freeman, D.M.,
Equivalence of Subpixel Motion Estimators Based on
Optical Flow and Block Matching,
SCV95(7-12)
M.I.T.
Rigid motions. Block matching: minimize the difference between shifted
versions of the images.
BibRef
9500
Vico, F.J.,
Garrido, F.J.,
Sandoval, F.,
Leibovic, N.,
A connectionist model for local speed estimation,
ICIP94(II: 262-266).
WWW Version.
9411
BibRef
Amini, A.A.,
A Scalar Function Formulation For Optical Flow,
ECCV94(A:123-131).
WWW Version.
BibRef
9400
Germain, F.,
Skordas, T.,
An Image Motion Estimation Technique Based on a Combined Statistical Test
and Spatiotemporal Generalised Likelihood Ratio Approach,
ECCV94(A:152-157).
WWW Version.
BibRef
9400
Cornelius, N.[Nancy], and
Kanade, T.[Takeo],
Adapting Optical-Flow to Measure Object Motion in Reflectance
and X-Ray Image Sequences,
Motion83(50-58).
BibRef
8300
And:
DARPA83(257-265).
BibRef
And:
CMU-CS-TR-83-119, CMU CS Dept.
BibRef
Derou, D.,
Dinten, J.M.,
Herault, L.,
Niez, J.J.,
Physical-Model Based Reconstruction of the Global
Instantaneous Velocity Field from Velocity Measurements at a Few Points,
PBMCV95(SESSION 3)
BibRef
9500
Wang, W.H.[Wen-Hao],
Lie, W.N.[Wen-Nung],
Chen, Y.C.[Yung-Chang],
A fuzzy-computing method for rotation-invariant image tracking,
ICIP94(I: 540-544).
WWW Version.
9411
BibRef
Sherman, I.,
Spitzer, H.,
Model for local image velocity detection of early visual processing,
ICPR94(A:819-821).
WWW Version.
9410
BibRef
Boyce, J.F.,
Protheroe, S.R.,
Haddon, J.F.,
A relaxation computation of optic flow from spatial and temporal
cooccurrence matrices,
ICPR92(III:594-597).
WWW Version.
9208
BibRef
Markandey, V.,
Flinchbaugh, B.E.,
Multispectral Constraints for Optical Flow Computation,
ICCV90(38-41).
WWW Version.
BibRef
9000
Kalivas, D.S.,
Sawchuk, A.,
A 2-D motion estimation algorithm,
ICPR90(I: 271-273).
WWW Version.
9006
BibRef
Werkhoven, P.,
Toet, A.,
The Estimation of Displacement Vector Fields by Means of
Adaptive Affine Transformations,
ICPR86(798-800).
BibRef
8600
Pieroni, G.G.,
Analyzing the Movement of a Wave Field by Computer,
ICPR86(903-906).
BibRef
8600
Forbus, K.D.,
Spatial and Qualitative Aspects of Reasoning about Motion,
AAAI-80(170-173).
BibRef
8000
Forbus, K.D.[Kenneth D.],
A Study of Qualitative and Geometric Knowledge in
Reasoning about Motion,
MIT AI-TR-615, February 1981.
WWW Version.
BibRef
8102
Lavin, M.A.,
Analysis of Scenes from a Moving Viewpoint,
MIT-AI79(183-208).
BibRef
7900
Chapter on Optical Flow Field Computations and Use continues in
Error Analysis, Evaluation for Optical Flow .