Publication Date
2006
Journal or Book Title
Proceedings International Conference on Image Processing, Vols 1-7
Abstract
In this paper, a new method for motion flow estimation that considers errors in all the derivative measurements is presented. Based on the total least squares (TLS) model, we accurately estimate the motion flow in the general noise case by combining noise model (in form of covariance matrix) with a parametric motion model. The proposed algorithm is tested on two different types of biological motion, a growing plant root and a gastrulating embryo, with sequences obtained microscopically. The local, instantaneous velocity field estimated by the algorithm reveals the behavior of the underlying cellular elements.
DOI
https://doi.org/10.1109/ICIP.2006.312551
Pages
1245-1248
Recommended Citation
Dong, Gang; Baskin, Tobias I.; and Palaniappan, Kannappan, "Motion flow estimation from image sequences with applications to biological growth and motility" (2006). Proceedings International Conference on Image Processing, Vols 1-7. 10.
https://doi.org/10.1109/ICIP.2006.312551