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TUM-LSI High-Resolution Indoor Image Dataset
The TU Munich Large-Scale Indoor Dataset is a subset of the NavVis Indoor dataset, which contains 1314 high-resolution images covering the entire floor of the university building totaling 5575 square meters, and is mainly used for 3D reconstruction. This dataset was released by Cambridge University in 2015, and the main publishers were A. Kendall, M. Grimes and R. Cipolla. Posenet.
Citation
@InProceedings{walch17spatiallstms,
author = "Florian Walch and
Caner Hazirbas and
Laura Leal{-}Taix{\'{e}} and
Torsten Sattler and
Sebastian Hilsenbeck and
Daniel Cremers",
title = "Image-based localization using LSTMs for structured feature correlation",
month = "October",
year = "2017",
booktitle = "IEEE International Conference on Computer Vision (ICCV)",
url = {http://arxiv.org/abs/1611.07890}
}
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at support@hyper.ai for prompt review and removal.
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