Corpus ID: 209376640

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances

@article{Metzler2019KeyholeIN,
  title={Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances},
  author={Christopher A. Metzler and David B. Lindell and Gordon Wetzstein},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.06727}
}
  • Christopher A. Metzler, David B. Lindell, Gordon Wetzstein
  • Published in ArXiv 2019
  • Computer Science, Engineering
  • Non-line-of-sight (NLOS) imaging and tracking is an emerging paradigm that allows the shape or position of objects around corners or behind diffusers to be recovered from transient measurements. However, existing NLOS approaches require the imaging system to scan a large area on a visible surface, where the indirect light paths of hidden objects are sampled. In many applications, such as robotic vision or autonomous driving, optical access to a large scanning area may not be available, which… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 57 REFERENCES

    A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction

    Acoustic Non-Line-Of-Sight Imaging

    Analysis of Feature Visibility in Non-Line-Of-Sight Measurements

    VIEW 1 EXCERPT

    Geometric Invariants for Sparse Unknown View Tomography

    VIEW 1 EXCERPT

    Passive optical time-of-flight for non line-of-sight localization

    VIEW 1 EXCERPT

    Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi

    • Lingda Wang, Zhizhen Zhao
    • Computer Science, Engineering
    • 2019 IEEE International Conference on Image Processing (ICIP)
    • 2019
    VIEW 1 EXCERPT