Search Results for author: Atul Ingle

Found 9 papers, 0 papers with code

High Flux Passive Imaging with Single-Photon Sensors

no code implementations CVPR 2019 Atul Ingle, Andreas Velten, Mohit Gupta

Our key observation is that the precise inter-photon timing measured by a SPAD can be used for estimating scene brightness under ambient lighting conditions, even for very bright scenes.

Vocal Bursts Intensity Prediction

Photon-Flooded Single-Photon 3D Cameras

no code implementations CVPR 2019 Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta

Single photon avalanche diodes (SPADs) are starting to play a pivotal role in the development of photon-efficient, long-range LiDAR systems.

Asynchronous Single-Photon 3D Imaging

no code implementations ICCV 2019 Anant Gupta, Atul Ingle, Mohit Gupta

Single-photon avalanche diodes (SPADs) are becoming popular in time-of-flight depth-ranging due to their unique ability to capture individual photons with picosecond timing resolution.

Passive Inter-Photon Imaging

no code implementations CVPR 2021 Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten

Digital camera pixels measure image intensities by converting incident light energy into an analog electrical current, and then digitizing it into a fixed-width binary representation.

Astronomy

Compressive Single-Photon 3D Cameras

no code implementations CVPR 2022 Felipe Gutierrez-Barragan, Atul Ingle, Trevor Seets, Mohit Gupta, Andreas Velten

CSPHs are a per-pixel compressive representation of the high-resolution histogram, that is built on-the-fly, as each photon is detected.

3D Scene Inference from Transient Histograms

no code implementations9 Nov 2022 Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta

Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once limited to niche applications but are now rapidly becoming mainstream in consumer devices.

PICO

Count-Free Single-Photon 3D Imaging with Race Logic

no code implementations10 Jul 2023 Atul Ingle, David Maier

The two key ingredients of our approach are (a) processing photon streams using race logic, which maintains photon data in the time-delay domain, and (b) constructing count-free equi-depth histograms.

Panoramas from Photons

no code implementations ICCV 2023 Sacha Jungerman, Atul Ingle, Mohit Gupta

Here we present a method capable of estimating extreme scene motion under challenging conditions, such as low light or high dynamic range, from a sequence of high-speed image frames such as those captured by a single-photon camera.

Drone navigation Motion Estimation +1

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