Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Kim, Min H."'
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
We present a method to reconstruct indoor and outdoor static scene geometry and appearance from an omnidirectional video moving in a small circular sweep. This setting is challenging because of the small baseline and large depth ranges, making it dif
Externí odkaz:
http://arxiv.org/abs/2404.00678
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Omnidirectional cameras are extensively used in various applications to provide a wide field of vision. However, they face a challenge in synthesizing novel views due to the inevitable presence of dynamic objects, including the photographer, in their
Externí odkaz:
http://arxiv.org/abs/2404.00676
Publikováno v:
Proceedings of ACM SIGGRAPH Asia 2023 (December 2023)
Existing time-resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scenes by inverting the optical paths of indirect illumination measured at visible relay surfaces. These methods are prone to reconstruction artifacts due to inversion
Externí odkaz:
http://arxiv.org/abs/2309.12047
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 12353-12362
Indirect time-of-flight (iToF) imaging allows us to capture dense depth information at a low cost. However, iToF imaging often suffers from multipath interference (MPI) artifacts in the presence of scattering media, resulting in severe depth-accuracy
Externí odkaz:
http://arxiv.org/abs/2306.17618
Autor:
Meuleman, Andreas, Liu, Yu-Lun, Gao, Chen, Huang, Jia-Bin, Kim, Changil, Kim, Min H., Kopf, Johannes
Publikováno v:
CVPR 2023
We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimat
Externí odkaz:
http://arxiv.org/abs/2303.13791
Publikováno v:
ECCV 2022, Part I, LNCS 13661
High-accuracy per-pixel depth is vital for computational photography, so smartphones now have multimodal camera systems with time-of-flight (ToF) depth sensors and multiple color cameras. However, producing accurate high-resolution depth is still cha
Externí odkaz:
http://arxiv.org/abs/2210.02785
Publikováno v:
ACM Transactions on Graphics 41, 4, Article 133 (July 2022)
Ellipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensors. This results in cumbersome capture devices, carefully calibrated in
Externí odkaz:
http://arxiv.org/abs/2207.04236
Publikováno v:
ACM Transactions on Graphics 40, 4, Article 67 (August 2021)
Fiducial markers have been broadly used to identify objects or embed messages that can be detected by a camera. Primarily, existing detection methods assume that markers are printed on ideally planar surfaces. Markers often fail to be recognized due
Externí odkaz:
http://arxiv.org/abs/2206.08026
Publikováno v:
ACM Transactions on Graphics 40, 6, Article 286 (December 2021)
Recent differentiable rendering techniques have become key tools to tackle many inverse problems in graphics and vision. Existing models, however, assume steady-state light transport, i.e., infinite speed of light. While this is a safe assumption for
Externí odkaz:
http://arxiv.org/abs/2206.06193
We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients. Our proposed approach is based around the idea that true depth edges are more sensitive than texture edges to local cons
Externí odkaz:
http://arxiv.org/abs/2107.02967