no code implementations • 17 Apr 2024 • Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza
Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter exposures result in Poisson-corrupted noisy images.
no code implementations • 21 Dec 2023 • Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram, Yuchen Fan, Christian Richardt, Ramesh Raskar, Rakesh Ranjan
3D reconstruction from a single-view is challenging because of the ambiguity from monocular cues and lack of information about occluded regions.
no code implementations • CVPR 2023 • Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar
Specifically, we study how ToF information can reduce the number of measurements and spatial resolution needed for shape reconstruction.
no code implementations • 7 Sep 2022 • Connor Henley, Siddharth Somasundaram, Joseph Hollmann, Ramesh Raskar
We propose methods that use specular, multibounce lidar returns to detect and map specular surfaces that might be invisible to conventional lidar systems that rely on direct, single-scatter returns.
no code implementations • 21 Apr 2022 • Tzofi Klinghoffer, Siddharth Somasundaram, Kushagra Tiwary, Ramesh Raskar
Cameras were originally designed using physics-based heuristics to capture aesthetic images.