6. 紹介する論文
[Peng2014]Peng, F.,Wu, Q., Fan, L., Zhang, J.,You,Y., Lu, J., &Yang,
J.-Y. (2014). STREETVIEW CROSS-SOURCED POINT CLOUD
MATCHING AND REGISTRATION. International Conference
on Image Processing (ICIP).
[Huang2016]Huang, X., Zhang, J.,Wu, Q., Fan, L., &Yuan, C.
(2016).A coarse-to-fine algorithm for registration in 3D street-
view cross-source point clouds. Digital Image Computing:
Techniques and Applications (DICTA).
[Avidar2016]Avidar, D., Malah, D., & Barzohar, M. (2016). Point
Cloud Registration Using AViewpoint Dictionary. International
Conference on the Science of Electrical Engineering.
[Caselitz2016] Caselitz,T., Steder, B., Ruhnke, M., & Burgard,W.
(2016). Monocular Camera Localization in 3D LiDAR Maps.
International Conference on Intelligent Robots and Systems (IROS).
8. [Huang2016]
[Peng2014]のFineのマッチングをICPからGaussian Mixture Model
ベースの確率的手法に変更
レジストレーション後の点群全体の分布をGMMでモデル化し、尤度が最
大となるようにGMMのパラメータを調整しつつ位置合わせ
Evangelidis, G. D., Kounades-bastian, D., Horaud, R., & Psarakis, E. Z. (2014).A
Generative Model for the Joint Registration of Multiple Point Sets. European
Conference on ComputerVision.