Image-flow computation: An estimation-theoretic framework and a unified perspective

CVGIP: Image Understanding

Volumn 56, Issue 2, 1992, Pages 152-177

  Singh, Ajit ^a   Allen, Peter ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION-THEORETIC TECHNIQUE; IMAGE FLOW; NEIGHBOURHOOD;

EID: 0027066484     PISSN: 10499660     EISSN: None     Source Type: Journal    
DOI: 10.1016/1049-9660(92)90037-4     Document Type: Article

References (32)

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6. The pyramid as a structure for efficient computation
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8. Investigations of multigrid algorithms for estimation of optical flow fields in image sequences
9. Stochastic relaxation, gibbs distribution and the bayesian restoration of images
10. A model for extraction of image flow
11. Determining optical flow
12. Computing motion using analog and binary resistive networks
13. Kalman filter-based algorithms for estimating depth from image-sequences
14. Reconstructing the optic flow field from edge motion: An examination of two different approaches
15. Displacement vectors derived from second order intensity variations in image sequences
16. On the estimation of dense displacement maps from image sequences
17. Image flow: Fundamentals and algorithms
18. An estimation-theoretic framework for image-flow computation
19. Image-Flow Computation: An Estimation-Theoretic Framework, Unification and Integration
20. A method to integrate correlation-based and gradient-based methods for image-flow estimation
21. On the mathematical foundations of smoothness constraints for the determination of optical flow and for surface reconstruction
22. Contour evolution, neighborhood deformation and global image flow: Planar surfaces in motion
23. Convected activation profiles and measurement of visual motion