no code implementations • 26 Mar 2024 • Fangzhou Mu, Carter Sifferman, Sacha Jungerman, Yiquan Li, Mark Han, Michael Gleicher, Mohit Gupta, Yin Li
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras.
no code implementations • 25 Aug 2023 • Carter Sifferman, Yeping Wang, Mohit Gupta, Michael Gleicher
To validate our methods, we capture 3, 800 measurements of eight planar surfaces from a wide range of viewpoints, and show that our method outperforms the proprietary-distance-estimate baseline by an order of magnitude in most scenarios.
no code implementations • 22 Dec 2022 • Carter Sifferman
In practice, scene representations vary widely depending on the type of robot, the sensing modality, and the task that the robot is designed to do.