no code implementations • 8 Jun 2021 • Takumi Nakane, Haoran Xie, Chao Zhang
Specifically, by partitioning the template image into several regions and measuring the similarity of each region independently, multiple objectives are built and deformation estimation can thus be realized by solving the MOP with off-the-shelf multi-objective evolutionary algorithms (MOEAs).
no code implementations • 30 Mar 2020 • Takumi Nakane, Xuequan Lu, Chao Zhang
In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history.
no code implementations • 26 Mar 2019 • Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang
We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity.