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Computational periscopy with an ordinary digital camera.

Charles Saunders1, John Murray-Bruce1, Vivek K Goyal2

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This study presents a new computational periscope method using a single photograph from an ordinary camera. It enables non-line-of-sight imaging around obstacles without specialized equipment.

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Area of Science:

  • Optics
  • Computer Vision
  • Computational Imaging

Background:

  • Traditional non-line-of-sight (NLOS) imaging relies on specialized, expensive ultrafast optical systems.
  • Existing methods often depend on light-travel times, limiting accessibility and increasing costs.

Purpose of the Study:

  • To introduce a novel two-dimensional computational periscope technique.
  • To enable non-line-of-sight imaging using a single standard digital photograph.

Main Methods:

  • Utilizes a single photograph from an ordinary digital camera.
  • Models the linear dependence between the object's visible penumbra and the hidden scene using ray optics.
  • Does not require controlled or time-varying illumination.

Main Results:

  • Successfully recovers the position of an opaque object and the scene behind it.
  • Achieves non-line-of-sight imaging around obstructions without line of sight.
  • Demonstrates the feasibility of computational periscopy with common photographic equipment.

Conclusions:

  • This technique offers a low-cost, accessible solution for non-line-of-sight imaging.
  • Potential applications include hazardous environment monitoring, navigation, and security.
  • Advances computational imaging by simplifying hardware requirements for NLOS scenarios.