Analysis of contour motions

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 913-920

  Liu, Ce ^a   Freeman, William T ^a   Adelson, Edward H ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTOUR ANALYSIS; GLOBAL MOTION; GLOBAL STATISTICS; GRAPHICAL MODEL; HIGH CONTRAST; LOCAL MEASUREMENT; MOTION ESTIMATES; MOTION ESTIMATION ALGORITHM; MOVING OBJECTS; REAL VIDEO SEQUENCES; REVERSIBLE SWITCHES; SPURIOUS FEATURES; T JUNCTIONS;

COVARIANCE MATRIX; GRAPHIC METHODS; MOTION ESTIMATION;

UNCERTAINTY ANALYSIS;

EID: 84864043317     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. M. J. Black and D. J. Fleet. Probabilistic detection and tracking of motion boundaries. International Journal of Computer Vision, 38(3):231-245, 2000.
2. J. Canny. A computational approach to edge detection. IEEE Trans. Pat. Anal. Mach. Intel., 8(6):679-698, Nov 1986.
3. W. T. Freeman and E. H. Adelson. The design and use of steerable filters. IEEE Trans. Pat. Anal. Mach. Intel., 13(9):891-906, Sep 1991.
4. B. K. P. Horn and B. G. Schunck. Determing optical flow. Artificial Intelligence, 17:185-203, 1981.
5. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 674-679, 1981.
6. D. Mackay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003.
7. S. Mahamud, L. Williams, K. Thornber, and K. Xu. Segmentation of multiple salient closed contours from real images. IEEE Trans. Pat. Anal. Mach. Intel., 25(4):433-444, 2003.
8. D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Trans. Pat. Anal. Mach. Intel., 26(5):530-549, May 2004.
9. J. McDermott. Psychophysics with junctions in real images. Perception, 33:1101-1127, 2004.
10. J. McDermott and E. H. Adelson. The geometry of the occluding contour and its effect on motion interpretation. Journal of Vision, 4(10):944-954, 2004.
11. J. McDermott and E. H. Adelson. Junctions and cost functions in motion interpretation. Journal of Vision, 4(7):552-563, 2004.
12. S. J. Nowlan and T. J. Sejnowski. A selection model for motion processing in area mt primates. The Journal of Neuroscience, 15(2):1195-1214, 1995.
13. R. Raskar, K.-H. Tan, R. Feris, J. Yu, and M. Turk. Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. ACM Trans. Graph. (SIGGRAPH), 23(3):679-688, 2004.
14. X. Ren, C. Fowlkes, and J. Malik. Scale-invariant contour completion using conditional random fields. In Proceedings of International Conference on Computer Vision, pages 1214-1221, 2005.
15. E. Saund. Logic and MRF circuitry for labeling occluding and thinline visual contours. In Advances in Neural Information Processing Systems 18, pages 1153-1160, 2006.
16. A. Shahua and S. Ullman. Structural saliency: the detection of globally salient structures using a locally connected network. In Proceedings of International Conference on Computer Vision, pages 321-327, 1988.
17. J. Shi and C. Tomasi. Good features to track. In IEEE Conference on Computer Vision and Pattern Recognition, pages 593-600, 1994.
18. Y. Weiss and E. H. Adelson. Perceptually organized EM: A framework for motion segmentaiton that combines information about form and motion. Technical Report 315, M.I.T Media Lab, 1995.