We present an accurate and robust method for six degree of freedom image localization. There are two key-points of our method, 1. automatic immense photo synthesis and labeling from point cloud model and, 2. pose estimation with deep convolutional neural networks regression. Our model can directly regresses 6-DOF camera poses from images, accurately describing where and how it was captured. We achieved an accuracy within 1 meters and 1 degree on our out-door dataset, which covers about 2 acres on our school campus.
@article{arxiv.1611.02776,
title = {Deep Convolutional Neural Network for 6-DOF Image Localization},
author = {Daoyuan Jia and Yongchi Su and Chunping Li},
journal= {arXiv preprint arXiv:1611.02776},
year = {2016}
}