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MVSIR

Multi-view stereo infrared dataset. URL: https://zefirus.org/datasets/MVSIR.zip

3D models

3D models of three test objects used in the MVSIR dataset in Stanford .PLY format can be found in the models folder.

Gnome 3D model Car 3D model Head 3D model

Convolutional auto-encoder training

  1. Copy code directory to ~\path-to-caffe\examples\
  2. Create an LMDB with 28x28 grayscale images and specify the path in MVS_IR_016.prototxt
  3. Use MVS_IR_016.sh to train the network

Citation

If you use this code for your research, please cite our paper: Deep Learning of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range

@InProceedings{Knyaz_2017_ICCV,
author = {Knyaz, Vladimir A. and Vygolov, Oleg and Kniaz, Vladimir V. and Vizilter, Yury and Gorbatsevich, Vladimir and Luhmann, Thomas and Conen, Niklas},
title = {Deep Learning of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}

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Multi-view stereo infrared dataset

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