CAREER: Computational Passive 3D Imaging — NSF Award to Purdue University (IN, $359,934)
A passive three-dimensional (3D) imager estimates the distance of objects from photographs captured without emitting light into the environment. Compared with active 3D technologies such as Light Detection and Ranging (LiDAR), passive 3D imaging offers important advantages in covertness, energy efficiency, and hardware
| Award title | CAREER: Computational Passive 3D Imaging |
|---|---|
| Award ID | 2544069 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $359,934 |
| Principal investigator | Qi Guo |
| Program | Comm & Information Foundations |
| Start date | 05/01/2026 |
| Abstract | A passive three-dimensional (3D) imager estimates the distance of objects from photographs captured without emitting light into the environment. Compared with active 3D technologies such as Light Detection and Ranging (LiDAR), passive 3D imaging offers important advantages in covertness, energy efficiency, and hardware simplicity, making it particularly attractive for applications in national defense, scientific exploration, robotics, and wearable devices. Despite substantial progress in both ha |
| Source | NSF Awards |
$799/mo
Try NSFGrants →