灰狼优化器与行为考虑和维度学习在三维牙模型重建中的三维学习

Ritipong Wongkhuenkaew1, Sansanee Auephanwiriyakul2, Marasri Chaiworawitkul3

  • 1Department of Computer Engineering, Faculty of Engineering, Biomedical Engineering Institute, Biomedical Engineering and Innovation Research Center, Chiang Mai University, Chiang Mai 50200, Thailand.

概括

一个新的修改后的灰狼优化器与行为考虑和维度学习 (BCDL-GWO) 算法,结合代的最近点 (ICP),提高了牙科模型的3D注册精度. 这种BCDL-GWO与ICP方法的性能优于基于统计随机化的粒子群优化 (SR-PSO).