no code implementations • 31 Mar 2024 • Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang, James Tompkin, Min H. Kim
We present a method to reconstruct indoor and outdoor static scene geometry and appearance from an omnidirectional video moving in a small circular sweep.
no code implementations • CVPR 2023 • Daniel S. Jeon, Andreas Meuleman, Seung-Hwan Baek, Min H. Kim
In this work, we propose a polarimetric iToF imaging method that can capture depth information robustly through scattering media.
no code implementations • CVPR 2023 • Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H. Kim, Johannes Kopf
For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner.
1 code implementation • CVPR 2023 • Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang
Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.
no code implementations • 6 Oct 2022 • Andreas Meuleman, Hakyeong Kim, James Tompkin, Min H. Kim
Fusing RGB stereo and ToF information is a promising direction to overcome these issues, but a key problem remains: to provide high-quality 2D RGB images, the main color sensor's lens is optically stabilized, resulting in an unknown pose for the floating lens that breaks the geometric relationships between the multimodal image sensors.
1 code implementation • SIGGRAPH 2021 • Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang, Hyunho Ha, Min H. Kim
Second, a differentiable image simulator creates a training dataset of photorealistic scene images with the deformed markers, being rendered during optimization in a differentiable manner.
no code implementations • CVPR 2021 • Hakyeong Kim, Andreas Meuleman, Daniel S. Jeon, Min H. Kim
However, when an extraordinary-ray (e-ray) image is restored to acquire stereo images, the existing methods suffer from very severe restoration artifacts in stereo images due to a low signal-to-noise ratio of input e-ray image or depth/deconvolution errors.
no code implementations • CVPR 2021 • Andreas Meuleman, Hyeonjoong Jang, Daniel S. Jeon, Min H. Kim
RGB-D imaging prototype composed of a mobile GPU and four fisheye cameras.
no code implementations • CVPR 2021 • Hyunho Ha, Joo Ho Lee, Andreas Meuleman, Min H. Kim
Volumetric fusion enables real-time scanning using a conventional RGB-D camera, but its geometry resolution has been limited by the grid resolution of the volumetric distance field and depth registration errors.
no code implementations • CVPR 2020 • Andreas Meuleman, Seung-Hwan Baek, Felix Heide, Min H. Kim
Cameras that capture color and depth information have become an essential imaging modality for applications in robotics, autonomous driving, virtual, and augmented reality.