A case study of innovative population-based algorithms in 3D modeling: Artificial bee colony, biogeography-based optimization, harmony search

作者：

Highlights：

• IR aims to find a geometric transformation between two or more images.

• In the last decade, the application of EAs to IR has caused an outstanding interest.

• We apply innovative population-based algorithms (ABC, BBO, and HS) to tackle IR.

• We compare ABC, HS, and BBO against other state-of-the-art contributions in 3D IRs.

摘要

•IR aims to find a geometric transformation between two or more images.•In the last decade, the application of EAs to IR has caused an outstanding interest.•We apply innovative population-based algorithms (ABC, BBO, and HS) to tackle IR.•We compare ABC, HS, and BBO against other state-of-the-art contributions in 3D IRs.

论文关键词：Population-based metaheuristics,ABC,BBO,HS,Image registration,3D modeling

论文评审过程：Available online 2 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.074