Locating non-line-of-sight features and recovering imagery conveyed through parallax in passive plenoptic imaging
Abstract
We present a method for recovering the perspective image of a non-line-of-sight scene based on plenoptic observations of indirect photons scattered from a flat homogeneous surface. The plenoptic information is used to ascertain locations of non-line-of-sight features in a hidden scene. This latent knowledge is then used for the partial reconstruction of the scene by extracting the imagery perceived by the non-line-of-sight features from the scattered light field measured along the surface. We demonstrate the efficacy of our technique by applying it to synthetic and measured light field data to retrieve the locations of multiple knife-edge occlusions in a test scene along with their perceived imagery.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 08, 2021
- Source ID
- 10.1364/josaa.421295
Entities
People
- Di Lin
- James Leger
Organizations
- Defense Advanced Research Projects Agency
- University of Minnesota