• DOI:10.1117/12.2305151
Corpus ID: 13960634

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks

@inproceedings{Yun2018OccludedOR,
  title={Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks},
  author={Kyongsik Yun and T. Lu and E. Chow},
  booktitle={Defense + Security},
  year={2018}
}

• Kyongsik Yun, T. Lu, E. Chow
• Published in Defense + Security 2018
• Computer Science, Engineering

Firefighters suffer a variety of life-threatening risks, including line-of-duty deaths, injuries, and exposures to hazardous substances. Support for reducing these risks is important. We built a partially occluded object reconstruction method on augmented reality glasses for first responders. We used a deep learning based on conditional generative adversarial networks to train associations between the various images of flammable and hazardous objects and their partially occluded counterparts… Expand

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