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pro vyhledávání: '"A Okutomi"'
Autor:
Wu, Zhuofeng, Lee, Doehyung, Liu, Zihua, Yoshizaki, Kazunori, Monno, Yusuke, Okutomi, Masatoshi
A quad-pixel (QP) sensor is increasingly integrated into commercial mobile cameras. The QP sensor has a unit of 2$\times$2 four photodiodes under a single microlens, generating multi-directional phase shifting when out-focus blurs occur. Similar to a
Externí odkaz:
http://arxiv.org/abs/2409.00665
Enabling the synthesis of arbitrarily novel viewpoint images within a patient's stomach from pre-captured monocular gastroscopic images is a promising topic in stomach diagnosis. Typical methods to achieve this objective integrate traditional 3D reco
Externí odkaz:
http://arxiv.org/abs/2405.18863
Monocular 3D object detection poses a significant challenge in 3D scene understanding due to its inherently ill-posed nature in monocular depth estimation. Existing methods heavily rely on supervised learning using abundant 3D labels, typically obtai
Externí odkaz:
http://arxiv.org/abs/2404.00149
Publikováno v:
ICASSP 2024
This paper addresses reflection removal, which is the task of separating reflection components from a captured image and deriving the image with only transmission components. Considering that the existence of the reflection changes the polarization s
Externí odkaz:
http://arxiv.org/abs/2402.18178
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA2024)
Stereo matching under foggy scenes remains a challenging task since the scattering effect degrades the visibility and results in less distinctive features for dense correspondence matching. While some previous learning-based methods integrated a phys
Externí odkaz:
http://arxiv.org/abs/2402.18181
Publikováno v:
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
In this paper, we address the task of aberration-aware depth-from-defocus (DfD), which takes account of spatially variant point spread functions (PSFs) of a real camera. To effectively obtain the spatially variant PSFs of a real camera without requir
Externí odkaz:
http://arxiv.org/abs/2402.18175
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia (ACMMM2022), pp.6050-6060, October 2022
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, disparity estimation in low-texture, occluded, and bordered regions still remains a bottleneck that limits the performance. To tackle these challenges, geometri
Externí odkaz:
http://arxiv.org/abs/2402.18171
Publikováno v:
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2024)
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck. Due to the limited receptive field, existing CNN-based metho
Externí odkaz:
http://arxiv.org/abs/2312.14650
PatchMatch Multi-View Stereo (PatchMatch MVS) is one of the popular MVS approaches, owing to its balanced accuracy and efficiency. In this paper, we propose Polarimetric PatchMatch multi-view Stereo (PolarPMS), which is the first method exploiting po
Externí odkaz:
http://arxiv.org/abs/2311.07600
Autor:
Jiang, Zijie, Okutomi, Masatoshi
Self-supervised monocular scene flow estimation, aiming to understand both 3D structures and 3D motions from two temporally consecutive monocular images, has received increasing attention for its simple and economical sensor setup. However, the accur
Externí odkaz:
http://arxiv.org/abs/2309.01296