Name
Abstract | ||
|---|---|---|
Imaging objects obscured by occluders is a significant challenge for many applications. A camera that could “see around corners” could help improve navigation and mapping capabilities of autonomous vehicles or make search and rescue missions more effective. Time-resolved single-photon imaging systems have recently been demonstrated to record optical information of a scene that can lead to an estimation of the shape and reflectance of objects hidden from the line of sight of a camera. However, existing non-line-of-sight (NLOS) reconstruction algorithms have been constrained in the types of light transport effects they model for the hidden scene parts. We introduce a factored NLOS light transport representation that accounts for partial occlusions and surface normals. Based on this model, we develop a factorization approach for inverse time-resolved light transport and demonstrate high-fidelity NLOS reconstructions for challenging scenes both in simulation and with an experimental NLOS imaging system.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3269977 | ACM Transactions on Graphics (TOG) |
Keywords | Field | DocType |
Computational photography, non-line-of-sight imaging | Non-line-of-sight propagation,Search and rescue,Pattern recognition,Computer science,Artificial intelligence,Factorization,Line-of-sight,Reflectivity | Journal |
Volume | Issue | ISSN |
38 | 3 | 0730-0301 |
Citations | PageRank | References |
9 | 0.53 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felix Heide | 1 | 329 | 32.29 |
| Matthew O’Toole | 2 | 214 | 13.69 |
| Kai Zang | 3 | 9 | 0.53 |
| David B. Lindell | 4 | 46 | 7.19 |
| Steven Diamond | 5 | 87 | 8.82 |
| Gordon Wetzstein | 6 | 945 | 72.47 |