Stochastic models for DIV-CURL optical flow methods

IEEE Signal Processing Letters

Volumn 3, Issue 2, 1996, Pages 32-34

  Gupta, Sandeep N ^a   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; IMAGE QUALITY; MATHEMATICAL MODELS; RANDOM PROCESSES; STATE SPACE METHODS;

DIVERGENCE CURL OPTICAL FLOW METHOD; LINEAR SMOOTHING THEORY;

OPTICAL FLOWS;

EID: 0030085909     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.484208     Document Type: Article

References (9)

1. B. K. P. Horn and B. G. Schunck, "Determining optical flow," Artificial Intell., vol. 17, pp. 185-203, 1981.
2. D. Suter, "Motion estimation and vector splines," in Proc. CVPR94, Seattle, 1994, pp. 939-948.
3. P. Morse and H. Feshbach, Methods of Theoretical Physics. New York: McGraw-Hill, 1953.
4. A. Rougee, B. C. Levy, and A. S, Willsky, "Optic flow estimation inside a bounded domain," Tech. Rep. LIDS-P-1589, Mass. Inst. Technol. Lab. Inform. Decision Syst., 1986.
5. T. S. Denney Jr. and J. L. Prince, "Optimal brightness functions for optical flow estimation of deformable motion," IEEE Trans. Image Processing, vol. 3, pp. 178-191, Mar. 1994.
6. _, "A frequency domain performance analysis of Horn and Schunck's optical flow algorithm for deformable motion," to appear in IEEE Trans. Image Processing, accepted Dec. 1994.
7. D. Suter, "Vector splines in computer vision," submitted to Proc. Australasian Workshop Thin Plates, Sydney, Feb. 18, 1994.
8. L. Amodei and M. N. Benbourhim, "A vector spline approximation," J. Approximation Theory, vol. 67, pp. 51-79, 1991.
9. M. Adams, A. Willsky, and B. Levy, "Linear estimation of boundary value stochastic processes - Part I: The role and construction of complementary models," IEEE Trans. Automat. Contr., vol. AC-29, pp. 803-810, Sept. 1984.