论文信息 - BM3D: motion estimation in time dependent volume data

BM3D: motion estimation in time dependent volume data

This paper describes BM3D: a method for the analysis of motion in time dependent volume data. From a sequence of volume data sets a sequence of vector data sets representing the movement of the data is computed. A block matching technique is used for the reconstruction of data movement. The derived vector field can be used for the visualization of time dependent volume data. The method is illustrated in two applications.

Robert van Liere | Wim C. de Leeuw | W. D. Leeuw | R. Liere

[1] R. Hetherington. The Perception of the Visual World , 1952 .

[2] Deborah Silver,et al. Visualizing features and tracking their evolution , 1994, Computer.

[3] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.

[4] 오승준. [서평]「Digital Video Processing」 , 1996 .

[5] Robert van Liere,et al. Chromatin decondensation: a case study of tracking features in confocal data , 2001, VIS '01.

[6] Hans-Hellmut Nagel,et al. On the Estimation of Optical Flow: Relations between Different Approaches and Some New Results , 1987, Artif. Intell..

[7] James C. Gee,et al. Finite element approach to warping of brain images , 1994, Medical Imaging.

[8] P. Anandan,et al. A computational framework and an algorithm for the measurement of visual motion , 1987, International Journal of Computer Vision.

[9] Chaitali Chakrabarti,et al. Architectures for hierarchical and other block matching algorithms , 1995, IEEE Trans. Circuits Syst. Video Technol..

[10] Hans J. W. Spoelder,et al. Attribute-Based Feature Tracking , 1999, VisSym.

[11] Benoit M. Dawant,et al. Non-rigid registration of medical images: purpose and methods, a short survey , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.