Robust computation of optical flow in a multi-scale differential framework

International Journal of Computer Vision

Volumn 14, Issue 1, 1995, Pages 67-81

  Weber, Joseph ^a   Malik, Jitendra ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; IMAGE ANALYSIS; PARALLEL PROCESSING SYSTEMS; PERFORMANCE; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL FILTERING AND PREDICTION; VECTORS;

DIFFERENTIAL FRAMEWORKS; SPATIOTEMPORAL FILTER KERNELS;

OPTICAL FLOWS;

EID: 0029210315     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/BF01421489     Document Type: Article

References (34)

1. Performance of optical flow techniques
2. Computation of component image velocity from local phase information
3. Early vision and texture perception
4. A computational approach to edge detection
5. Computational framework for determining stereo correspondence from a set of linear spatial filters
6. Preattentive texture discrimination with early vision mechanisms
7. Texture discrimination by Gabor functions
8. Optical flow using spatiotemporal filters
9. Velocity determination in scenes containing several moving objects
10. On the estimation of optical flow: relations between different approaches and some new results
11. A computational approach to motion perception
12. Differential techniques for optical flow
13. Generalized gradient schemes for the measurement of two-dimensional image motion
14. Total least squares fitting spatiotemporal derivatives to smooth optical flow fields
15. The Total Least Squares Problem: Computational Aspects and Analysis
16. On lines and planes of closest fit to points in space
17. The fitting of straight lines when both variables are subject to error
18. An analysis of the total least squares problem
19. Directional discrimination for band-pass filtered random dot kinematograms
20. Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy