A Frequency Domain Performance Analysis of Horn and Schunck's Optical Flow Algorithm for Deformable Motion

IEEE Transactions on Image Processing

Volumn 4, Issue 9, 1995, Pages 1324-1327

  Denney, Thomas S ^a   Prince, Jerry L ^b  

^a AUBURN UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ESTIMATION; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION; RANDOM PROCESSES;

BRIGHTNESS PATTERN; DEFORMABLE MOTION; HORN AND SCHUNCK OPTICAL FLOW ALGORITHMS; NOISE SOURCES;

ALGORITHMS;

EID: 0029377657     PISSN: 10577149     EISSN: 19410042     Source Type: Journal    
DOI: 10.1109/83.413178     Document Type: Article

References (7)

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2. B. K. P. Horn and B. G. Schunck, “Determining optical flow,” Artificial Intell., vol. 17, pp. 185–203, 1981.
3. J. L. Barron, D. J. Fleet, and S. S. Beauchemin, “Performance of optical flow techniques,” Int. J. Comput. Vision, vol. 12, no. 1, pp. 43–77, Feb. 1994.
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5. J. L. Prince and E. R. McVeigh, “Motion estimation from tagged MR image sequences,” IEEE Trans. Med. Imag., vol. 11, no. 2, pp. 238–249, June 1992.
6. T. S. Denney, Jr. and J. L. Prince, “Optimal brightness functions for optical flow estimation of deformable motion,” IEEE Trans. Image Processing, vol. 3, no. 2, pp. 178–191, Mar. 1994.
7. T. S. Denney, Jr., “Stochastic estimation of deformable motion from magnetic resonance tagged cardiac images,” Ph.D. thesis, The Johns Hopkins Univ., Baltimore, MD, 1994.