Search Results for author: Connor Henley

Found 4 papers, 0 papers with code

Imaging Behind Occluders Using Two-Bounce Light

no code implementations ECCV 2020 Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar

Hidden objects attenuate light that passes through the hidden space, leaving an observable signature that can be used to reconstruct their shape.

Vocal Bursts Valence Prediction

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging

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.

Vocal Bursts Valence Prediction

Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns

no code implementations7 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.

Objects As Cameras: Estimating High-Frequency Illumination From Shadows

no code implementations ICCV 2021 Tristan Swedish, Connor Henley, Ramesh Raskar

We recover high-frequency information encoded in the shadows cast by an object to estimate a hemispherical photograph from the viewpoint of the object, effectively turning objects into cameras.

Hallucination Object +1

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