Year: 2022
Type: article
Abstract: Time-resolved illumination provides rich spatiotemporal information for applications such as accurate depth sensing or hidden geometry reconstruction, becoming a useful asset for prototyping and as input for data-driven approaches. However, time-resolved illumination measurements are high-dimensional and have a low signal-to-noise ratio, hampering their applicability in real scenarios. We propose a novel method to compactly represent time-resolved illumination using mixtures of exponentially modified Gaussians that are robust to noise and preserve structural information. Our method yields representations two orders of magnitude smaller than discretized data, providing consistent results in such applications as hidden-scene reconstruction and depth estimation, and quantitative improvements over previous approaches.
Source: Optics Letters
DOI: 10.1364/ol.465316
Authors: Diego Royo, Zesheng Huang, Yun Liang, Boyan Song, Adolfo Muñoz, Diego Gutierrez, Julio Marco
Institutions: Universidad de Zaragoza, South China Agricultural University
Language: English
Subfield: Instrumentation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4295865902