We have released a PyTorch implementation of the method for relative camera pose estimation. The code and pre-trained models are available at https://github.com/AaltoVision/RelPoseNet
Torch code and models for Relative Camera Pose Estimation Using Convolutional Neural Networks
https://arxiv.org/abs/1702.01381
wget http://roboimagedata2.compute.dtu.dk/data/MVS/Cleaned.zip
pre-trained/
folder run download_models.sh
script downloading pre-trained HybridCNN (http://places.csail.mit.edu/) model. It is needed only for training the proposed modelth main.lua -do_evaluation -source_image_path <path/to/DTU/Cleaned> -weights ./pre-trained/siam_hybridnet_fullsized.t7
@inproceedings{Melekhov2017relativePoseCnn,
author = {Iaroslav Melekhov and Juha Ylioinas and Juho Kannala and Esa Rahtu},
title = {Relative Camera Pose Estimation Using Convolutional Neural Networks},
url = {https://arxiv.org/abs/1702.01381},
year = {2017}}