6 citations · 7 across the 10 of their papers we have counts for
10 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…
Snapshot Polarimetric Display Inverse Rendering
Seokjun Choi, Yunseong Moon, Kaizhang Kang +4
Inverse rendering remains a core challenge in graphics and vision, especially in the snapshot configurations required for lightweight desktop workflows, where the per-frame informa…
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…
Event Ellipsometer: Event-based Mueller-Matrix Video Imaging
Ryota Maeda, Yunseong Moon, Seung-Hwan Baek
Light-matter interactions modify both the intensity and polarization state of light. Changes in polarization, represented by a Mueller matrix, encode detailed scene information. Ex…
Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
Dominik Scheuble, Chenyang Lei, Seung-Hwan Baek +2
Lidar has become a cornerstone sensing modality for 3D vision, especially for large outdoor scenarios and autonomous driving. Conventional lidar sensors are capable of providing ce…
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…
Differentiable Point-based Inverse Rendering
Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
We present differentiable point-based inverse rendering, DPIR, an analysis-by-synthesis method that processes images captured under diverse illuminations to estimate shape and spat…
Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset
Yujin Jeon, Eunsue Choi, Youngchan Kim +4
Image datasets are essential not only in validating existing methods in computer vision but also in developing new methods. Most existing image datasets focus on trichromatic inten…
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…