Performance of low-level motion estimation methods for confocal microscopy of plant cells in vivo

2007 IEEE Workshop on Motion and Video Computing, WMVC 2007

Volumn , Issue , 2007, Pages

  Roberts, T ^a   McKenna, S ^a   Wuyts, N ^b   Valentine, T ^b   Bengough, A ^b  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CONFOCAL MICROSCOPY; CONSTRAINT THEORY; MOLECULAR STRUCTURE; OPTICAL MICROSCOPY; PLANTS (BOTANY);

GRAPH CUTS; INCONSISTENT ESTIMATES; LASER SCANNING MICROSCOPY; LOW-LEVEL MOTION ESTIMATION;

MOTION ESTIMATION;

EID: 34547232018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WMVC.2007.32     Document Type: Conference Paper

References (24)

1. S. Baker and I. Matthews. Lucas-Kanade 20 years on: A unifying framework. IJCV, 56(3):221-255, 2004. ISSN 0920-5691.
2. J.L. Barron and L. Liptay. Measuring 3D Plant Growth Using Optical Flow. Biolmaging, 5:82-86, 1997.
3. M.J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and piecewise-smooth flow-fields. CVIU, 63(1):75-104, January 1996.
4. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. In ICCV, pages 377-384, 1999.
5. M. A. Carreira-Perpiñán and Geoffrey E. Hinton. On contrastive divergence learning. In Workshop on Artificial Intelligence and Statistics, pages 33-40, 2005.
6. P.F. Felzenszwalb and D.P. Huttenlocher. Efficient belief propagation for early vision. IJCV, 70(1):261-268, October 2006.
7. S. Gilroy. Fluorescence microscopy of living plant cells. Annual Review Plant Physiol Plant Mol Biol, 48:165-190, Jun 1997.
8. M. R. Hanson and R. H. Köhler. GFP imaging: methodology and application to investigate cellular compartmentation in plants. J Exp Bot, 52(356):529-539, Apr 2001.
9. P Hepler and Gunning B. Confocal fluorescence microscopy of plant cells. Protoplasma, 201:121-157, 1998.
10. B.K.P. Horn and B.G. Schunk. Determining optical flow. Artificial Intelligence, 17:185-203, 1981.
11. P. Kohli and P.H.S. Torr. Efficiently solving dynamic markov random fields using graph cuts. In ICCV, volume II, pages 922-929, 2005.
12. V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? In ECCV, pages 65-81, 2002.
13. S. Kurup, J. Runions, U. Köhler, L. Laplaze, S. Hodge, and J. Haseloff. Marking cell lineages in living tissues. Plant, 42(3):444-453, May 2005.
14. X. Lan, S. Roth, D. Huttenlocher, and M.J. Black. Efficient belief propagation with learned higher-order markov random fields. In ECCV, 2006.
15. S. Li. Markov Random Field Modeling in Computer Vision. Springer Verlag, 1995. ISBN 0-387-70145-1.
16. B.D. Lucas and T. Kanadì. An iterative image registration technique with an application to stereo vision. In IJCAI, pages 674-679, 1981.
17. J.B. Pawley, editor. Handbook of Biological Confocal Microscopy. Springer, 4th edition, 2006.
18. T. J. Roberts, S.J. McKenna, J. Hans, T. A. Valentine, and A. G. Bengough. Part-based multi-frame registration for estimation of the growth of cellular networks in plant roots. In ICPR, August 2006.
19. A. Singh. Optic Flow Computation: A Unified Perspective. IEEE Computer Society Press, California, 1991.
20. R. Szeliski, R Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, and C. Rother. A comparative study of energy minimization methods for markov random fields. In ECCV, volume 2, pages 19-26, Graz, Austria, May 2006.
21. M. Tappen and W. Freeman. Comparison of graph cuts with belief propagation for stereo using identical MRF parameters. In ICCV, volume 2, pages 900-908, October 2003.
22. CM. van der Weele, H.S. Jiang, K.K. Palaniappan, V.B Ivanov, K. Palaniappan, and T.I Baskin. A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth. Plant Physiol, 132(3): 1138-1148, Jul 2003.
23. A. Walter, H. Spies, S. Terjung, R. Küsters, N. Kirchgessner, and U. Schurr. Spatio-temporal dynamics of expansion growth in roots: automatic quantification of diurnal course and temperature response by digital image sequence processing. J Exp Bot, 53 (369):689-698, Apr 2002.
24. Paul P Wyatt and J. Alison Noble. MAP MRF joint segmentation and registration of medical images. Medical Image Analysis, 7(4):539-552, Dec 2003.