Name
Abstract | ||
|---|---|---|
Visual object recognition under situations in which the direct line-of-sight is blocked, such as when it is occluded around the corner, is of practical importance in a wide range of applications. With coherent illumination, the light scattered from diffusive walls forms speckle patterns that contain information of the hidden object. It is possible to realize non-line-of-sight (NLOS) recognition with these speckle patterns. We introduce a novel approach based on speckle pattern recognition with deep neural network, which is simpler and more robust than other NLOS recognition methods. Simulations and experiments are performed to verify the feasibility and performance of this approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CVPR.2019.01201 | 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) |
Field | DocType | Volume |
Non-line-of-sight propagation,Pattern recognition,Speckle pattern,Computer science,Coherence (physics),Artificial intelligence,Line-of-sight,Artificial neural network,Cognitive neuroscience of visual object recognition | Journal | abs/1903.07705 |
ISSN | Citations | PageRank |
1063-6919 | 1 | 0.35 |
References | Authors | |
16 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Lei | 1 | 1 | 0.35 |
| Liangyu He | 2 | 1 | 0.35 |
| Yixuan Tan | 3 | 2 | 0.72 |
| Ken Xingze Wang | 4 | 1 | 0.69 |
| Xinggang Wang | 5 | 163 | 11.19 |
| Yihan Du | 6 | 1 | 0.35 |
| Shanhui Fan | 7 | 37 | 7.98 |
| Zongfu Yu | 8 | 1 | 0.35 |