A 6-DOFs event-based camera relocalization system by CNN-LSTM and image denoising
作者：
Highlights：
• The combination of CNN and LSTM camera relocalization method is proposed.
• The model can predict the 6-DOFs pose with smaller errors at a faster speed.
• It can enhance the robustness and improve real-time performance of the model.
摘要
•The combination of CNN and LSTM camera relocalization method is proposed.•The model can predict the 6-DOFs pose with smaller errors at a faster speed.•It can enhance the robustness and improve real-time performance of the model.
论文关键词：Event image,Camera relocalization,Image denoising,6-DOFs pose,Convolutional neural network
论文评审过程：Received 15 April 2020, Revised 2 September 2020, Accepted 23 December 2020, Available online 29 December 2020, Version of Record 7 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114535
