17.2.2 Optical Flow -- Matching Using Areas

Chapter Contents (Back)
Matching, Areas. Optical Flow, Regions.

Huntsberger, T.L., Jayaramamurthy, S.N.,
Determination of the Optic Flow Field Using the Spatiotemporal Deformation of Region Properties,
PRL(6), 1987, pp. 169-177. See also Determination of the Optic Flow Field in the Presence of Occlusion. BibRef 8700

Kottke, D.P., Sun, Y.,
Motion Estimation Via Cluster Matching,
PAMI(16), No. 11, November 1994, pp. 1128-1132.
IEEE Abstract. IEEE Top Reference.
WWW Version. First cluster according to position and intensity, estimate displacement by matching cluster centers. Compares results to gradient and block matching. BibRef 9411

Mahmoud, S.A., Afifi, M.S., Green, R.J.,
Recognition and Velocity Computation of Large Moving Objects in Images,
ASSP(36), 1988, pp. 1790-1791. BibRef 8800

Chhabra, A.K., Grogan, T.A.,
On Poisson Solvers and Semidirect Methods for Computing Area Based Optical-Flow,
PAMI(16), No. 11, November 1994, pp. 1133-1138.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9411
Earlier: CVPR92(857-860).
IEEE Abstract. IEEE Top Reference. Direct computation of area based optical flow. See also Direct Analytical Methods for Solving Poisson Equations in Computer Vision Problems. BibRef

Chhabra, A.K., and Grogan, T.A.,
Uniqueness, the Minimum Norm Constraint, and Analog Networks for Optical Flow Along Contours,
ICCV90(80-84).
WWW Version. BibRef 9000

Chhabra, A.K.,
Fast direct methods for computing optical flow along contours,
ICIP94(II: 242-246).
WWW Version. 9411 BibRef

Stiller, C.,
Object-Based Estimation Of Dense Motion Fields,
IP(6), No. 2, February 1997, pp. 234-250.
WWW Version. 9703 BibRef
Earlier:
Object-Based Motion Computation,
ICIP96(I: 913-916).
WWW Version. BibRef

Ye, M.[Ming], Haralick, R.M., Shapiro, L.G.,
Estimating piecewise-smooth optical flow with global matching and graduated optimization,
PAMI(25), No. 12, December 2003, pp. 1625-1630.
IEEE Abstract. IEEE Top Reference. 0401 BibRef
Earlier:
Estimating optical flow using a global matching formulation and graduated optimization,
ICIP02(II: 289-292).
IEEE Abstract. IEEE Top Reference. 0210Three frame matching with global optimization. Use local and global gradient. BibRef

Ye, M.[Ming], Haralick, R.M.[Robert M.],
Two-Stage Robust Optical Flow Estimation,
CVPR00(II: 623-628).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005 BibRef
And:
Optical Flow Estimation: A Two-Stage Robust Approach,
ICPR00(xx-yy). 0005 BibRef

Ye, M.[Ming], Haralick, R.M.,
Optical Flow from a Least-trimmed Squares Based Adaptive Approach,
ICPR00(Vol III: 1052-1055).
WWW Version.
WWW Version.
HTML Version. 0009 BibRef

Ye, M.[Ming], Haralick, R.M.[Robert M.],
Local Gradient, Global Matching, Piecewise-Smooth Optical Flow,
CVPR01(II:712-717).
IEEE Abstract. IEEE Top Reference. 0110 BibRef

Ahmadianpour, F.[Farzin], Ahmad, M.O.[M. Omair],
A Fast Algorithm for Motion Estimation Under the Varying Inter-Frame Brightness Characteristics,
GVIP(05), No. V1, December 2004, pp. xx-yy
HTML Version. BibRef 0412

Le Besnerais, G., Champagnat, F.,
B-Spline Image Model for Energy Minimization-Based Optical Flow Estimation,
IP(15), No. 10, October 2006, pp. 3201-3206.
WWW Version. 0609 BibRef
Earlier:
Dense Optical Flow by Iterative Local Window registration,
ICIP05(I: 137-140).
WWW Version. 0512 BibRef

Chung, P.C., Huang, C.L., Chen, E.L.,
A region-based selective optical flow back-projection for genuine motion vector estimation,
PR(40), No. 3, March 2007, pp. 1066-1077.
WWW Version. 0611Horn-Schunck optical flow constraint; Motion estimation; Optical flow computation; Region-based matching BibRef


Shen, C.D.[Cheng-Dong], Li, S.K.[Si-Kun],
Fast Prediction Mode Decision Algorithm for H.264 Based on Hierarchical Mode Classification Framework,
ISVC06(II: 882-890).
WWW Version. 0611 BibRef

Shen, C.D.[Cheng-Dong], Li, T.J.[Tie-Jun], Li, S.K.[Si-Kun],
A Predictive Direction Guided Fast Motion Estimation Algorithm,
CAIP05(188).
WWW Version. 0509 BibRef

López-Nicolás, G.[Gonzalo], Sagüés, C.[Carlos], Guerrero, J.J.[José J.],
Automatic Matching and Motion Estimation from Two Views of a Multiplane Scene,
IbPRIA05(I:69).
WWW Version. 0509 BibRef

Li, M.[Min], Biswas, M., Kumar, S., Nguyen, T.[Truong],
DCT-based phase correlation motion estimation,
ICIP04(I: 445-448).
WWW Version. 0505 BibRef

Wu, Y.S.[Yun-Song], Megson, G.[Graham], Nie, Z.G.[Zhen-Gang], Alavi, F.N.,
Linear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion,
SCIA05(1208-1217).
WWW Version. 0506 BibRef

Wu, Y.S.[Yun-Song], Megson, G.[Graham],
Linear Algorithm and Hexagonal Search Based Two-Pass Algorithm for Motion Estimation,
CAIP05(554).
WWW Version. 0509 BibRef
And:
Two-pass hexagonal algorithm with improved hashtable structure for motion estimation,
AVSBS05(564-569).
WWW Version. 0602 BibRef

Krajsek, K.[Kai], Mester, R.[Rudolf],
Bayesian Model Selection for Optical Flow Estimation,
DAGM07(142-151).
WWW Version. 0709 BibRef
Earlier:
A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods,
ICIP06(1081-1084). 0610
WWW Version. BibRef
Earlier:
Signal and Noise Adapted Filters for Differential Motion Estimation,
DAGM05(476).
WWW Version. 0509 BibRef

Cheng, Y.[Yun], Wang, Z.[Zhiying], Dai, K.[Kui], Guo, J.J.[Jian-Jun],
A Fast Motion Estimation Algorithm Based on Diamond and Triangle Search Patterns,
IbPRIA05(I:419).
WWW Version. 0509 BibRef

Yoon, H.S.[Hyo Sun], Lee, G.S.[Guee Sang],
Low Complexity Motion Estimation Based on Spatio-Temporal Correlations and Direction of Motion Vectors,
CAIP03(173-181).
WWW Version. 0311 BibRef

Béréziat, D.[Dominique], Herlin, I.[Isabelle],
Object Based Optical Flow Estimation with an Affine Prior Model,
ICPR00(Vol III: 1048-1051).
WWW Version.
WWW Version.
HTML Version. 0009 BibRef

Neumann, U., You, S.,
Integration of region tracking and optical flow for image motion estimation,
ICIP98(III: 658-662).
WWW Version. 9810 BibRef

Lucius, C.[Christian],
Measurement of Motion Deformation in a Sequence of Images,
(In French), M.S.Dissertation, June 1996. gzip-ed Postcript file, 2640386 bytes:
Postscript Version. BibRef 9606

Agarwal, R., Sklansky, J.,
Estimating optical flow for large interframe displacements,
CAIP93(403-411).
WWW Version. 9309 BibRef

Agarwal, R., Sklansky, J.,
Estimating Optical Flow from Clustered Trajectories in Velocity-Time,
ICPR92(I:215-219).
WWW Version. BibRef 9200

Vlontzos, J.A., and Geiger, D.,
A MRF Approach to Optical Flow Estimation,
CVPR92(853-856).
IEEE Abstract. IEEE Top Reference. First get an adaptive window match, then process for continuity and occlusions. BibRef 9200

Geiger, D., Diamantaras, K.J.,
Occlusion Ambiguities in Motion,
ECCV94(A:175-180).
WWW Version. BibRef 9400

Chapter on Optical Flow Field Computations and Use continues in
Optical Flow Along Contours .


Last update:Jun 25, 2008 at 13:37:57