Image-Based Localization Using LSTMs for Structured Feature Correlation

@article{Walch2017ImageBasedLU,
  title={Image-Based Localization Using LSTMs for Structured Feature Correlation},
  author={Florian Walch and Caner Hazirbas and Laura Leal-Taix{\'e} and Torsten Sattler and Sebastian Hilsenbeck and Daniel Cremers},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={627-637}
}
In this work we propose a new CNN+LSTM architecture for camera pose regression for indoor and outdoor scenes. CNNs allow us to learn suitable feature representations for localization that are robust against motion blur and illumination changes. We make use of LSTM units on the CNN output, which play the role of a structured dimensionality reduction on the feature vector, leading to drastic improvements in localization performance. We provide extensive quantitative comparison of CNN-based and… CONTINUE READING
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