6 citations · 6 across the 5 of their papers we have counts for
5 papers
Broadband Hyperspectral 3D Imaging using Dispersed Structured Light
Suhyun Shin, Yunseong Moon, Ryota Maeda +3
Hyperspectral 3D imaging enables the capture of dense spectral information and scene geometry but has traditionally been confined to narrow spectral windows, typically the visible…
Hyperspectral Polarimetric BRDFs of Real-world Materials
Yunseong Moon, Ryota Maeda, Suhyun Shin +4
Acquiring bidirectional reflectance distribution functions (BRDFs) is essential for simulating light transport and analytically modeling material properties. Over the past two deca…
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
Suhyun Shin, Seungwoo Yoon, Ryota Maeda +1
Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth a…
Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis
Qiang Fu, Matheus Souza, Eunsue Choi +3
Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driv…
Dispersed Structured Light for Hyperspectral 3D Imaging
Suhyun Shin, Seokjun Choi, Felix Heide +1
Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene. However, existing methods are either prohibitively expensive and bulky or compromise on spe…