Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Baek, Seung Hwan"'
Autor:
Choi, Juhyung, Kim, Jinnyeong, Choi, Seokjun, Lee, Jinwoo, Brucker, Samuel, Bijelic, Mario, Heide, Felix, Baek, Seung-Hwan
Achieving robust stereo 3D imaging under diverse illumination conditions is an important however challenging task, due to the limited dynamic ranges (DRs) of cameras, which are significantly smaller than real world DR. As a result, the accuracy of ex
Externí odkaz:
http://arxiv.org/abs/2412.02351
Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth accuracy; however, they require long acquisition times often over sever
Externí odkaz:
http://arxiv.org/abs/2412.01140
Autor:
Kim, Jinnyeong, Baek, Seung-Hwan
Integrating RGB and NIR stereo imaging provides complementary spectral information, potentially enhancing robotic 3D vision in challenging lighting conditions. However, existing datasets and imaging systems lack pixel-level alignment between RGB and
Externí odkaz:
http://arxiv.org/abs/2411.18025
Inverse rendering seeks to reconstruct both geometry and spatially varying BRDFs (SVBRDFs) from captured images. To address the inherent ill-posedness of inverse rendering, basis BRDF representations are commonly used, modeling SVBRDFs as spatially v
Externí odkaz:
http://arxiv.org/abs/2411.17994
Light-matter interactions modify both the intensity and polarization state of light. Changes in polarization, represented by a Mueller matrix, encode detailed scene information. Existing optical ellipsometers capture Mueller-matrix images; however, t
Externí odkaz:
http://arxiv.org/abs/2411.17313
Autor:
Choi, Minho, Xiang, Jinlin, Wirth-Singh, Anna, Baek, Seung-Hwan, Shlizerman, Eli, Majumdar, Arka
Artificial neural networks (ANNs) have fundamentally transformed the field of computer vision, providing unprecedented performance. However, these ANNs for image processing demand substantial computational resources, often hindering real-time operati
Externí odkaz:
http://arxiv.org/abs/2411.02697
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 centimeter-accurate distance information by emitting laser pulses into a
Externí odkaz:
http://arxiv.org/abs/2406.03461
In this paper, we propose the first generalizable view synthesis approach that specifically targets multi-view stereo-camera images. Since recent stereo matching has demonstrated accurate geometry prediction, we introduce stereo matching into novel-v
Externí odkaz:
http://arxiv.org/abs/2404.13541
In this paper, we present GyroDeblurNet, a novel single image deblurring method that utilizes a gyro sensor to effectively resolve the ill-posedness of image deblurring. The gyro sensor provides valuable information about camera motion during exposur
Externí odkaz:
http://arxiv.org/abs/2404.00916
Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral reconstruction aim at extracting spectral information from
Externí odkaz:
http://arxiv.org/abs/2401.03835