Panoramas from Photons
Sacha Jungerman, Atul Ingle, Mohit Gupta

TL;DR
This paper introduces a novel method for scene reconstruction and panorama creation using single-photon camera data, effectively handling high-speed motion and low-light conditions by iteratively aggregating photon frames.
Contribution
The paper presents a new approach for estimating scene motion and creating panoramas from single-photon camera data under challenging conditions, addressing noise and motion issues.
Findings
Successfully creates high-quality panoramas under fast motion and low light
Demonstrates super-resolution results with a custom single-photon camera
Provides a method that iteratively improves motion estimates from photon data
Abstract
Scene reconstruction in the presence of high-speed motion and low illumination is important in many applications such as augmented and virtual reality, drone navigation, and autonomous robotics. Traditional motion estimation techniques fail in such conditions, suffering from too much blur in the presence of high-speed motion and strong noise in low-light conditions. Single-photon cameras have recently emerged as a promising technology capable of capturing hundreds of thousands of photon frames per second thanks to their high speed and extreme sensitivity. Unfortunately, traditional computer vision techniques are not well suited for dealing with the binary-valued photon data captured by these cameras because these are corrupted by extreme Poisson noise. Here we present a method capable of estimating extreme scene motion under challenging conditions, such as low light or high dynamic…
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Videos
Panoramas from Photons· youtube
Taxonomy
TopicsAdvanced Vision and Imaging · Advanced Image Processing Techniques · Advanced Optical Sensing Technologies
Methodsfail · SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
