A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation
Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2019
We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity. As a classical problem, there is always a trade-off between the complexity of deformation models and the difficulty of parameters search in image deformation. 2D cubic B-spline surface is a highly free-form deformation model and is able to handle complex deformations such as fluid image distortions. However, it is challenging to estimate an apposite global solution.