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Motion Field Regularization for Sliding Objects Using Global Linear Optimization
2015
Proceedings of the International Conference on Pattern Recognition Applications and Methods
unpublished
In image registration it is often necessary to employ regularization in one form or another to be able to find a plausible displacement field. In medical applications, it is useful to define different constraints for different areas of the data. For instance to measure if organs have moved as expected after a finished treatment. One common problem is how to find plausible motion vectors far away from known motion. This paper introduces a new method to build and solve a Global Linear
doi:10.5220/0005281403180323
fatcat:tsiimvn6zvbmjpc6sfkzjvmpm4