Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Okura, Fumio"'
Autor:
Han, Yufei, Guo, Heng, Fukai, Koki, Santo, Hiroaki, Shi, Boxin, Okura, Fumio, Ma, Zhanyu, Jia, Yunpeng
We present NeRSP, a Neural 3D reconstruction technique for Reflective surfaces with Sparse Polarized images. Reflective surface reconstruction is extremely challenging as specular reflections are view-dependent and thus violate the multiview consiste
Externí odkaz:
http://arxiv.org/abs/2406.07111
We present a method for 3D reconstruction only using calibrated multi-view surface azimuth maps. Our method, multi-view azimuth stereo, is effective for textureless or specular surfaces, which are difficult for conventional multi-view stereo methods.
Externí odkaz:
http://arxiv.org/abs/2303.16447
We propose a method for scene-level sketch-to-photo synthesis with text guidance. Although object-level sketch-to-photo synthesis has been widely studied, whole-scene synthesis is still challenging without reference photos that adequately reflect the
Externí odkaz:
http://arxiv.org/abs/2302.06883
This paper proposes a multi-view extension of instance segmentation without relying on texture or shape descriptor matching. Multi-view instance segmentation becomes challenging for scenes with repetitive textures and shapes, e.g., plant leaves, due
Externí odkaz:
http://arxiv.org/abs/2011.13649
This paper describes a method for inferring three-dimensional (3D) plant branch structures that are hidden under leaves from multi-view observations. Unlike previous geometric approaches that heavily rely on the visibility of the branches or use para
Externí odkaz:
http://arxiv.org/abs/1804.09404
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Computers and Electronics in Agriculture October 2019 165
Autor:
Guo, Heng1 (AUTHOR) heng.guo@ist.osaka-u.ac.jp, Okura, Fumio1 (AUTHOR), Shi, Boxin2,3,4 (AUTHOR), Funatomi, Takuya5 (AUTHOR), Mukaigawa, Yasuhiro5 (AUTHOR), Matsushita, Yasuyuki1 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. Sep2022, Vol. 130 Issue 9, p2166-2183. 18p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Nishi, Takao, Kawasaki, Shinya, Iewaki, Kosuke, Okura, Fumio, Petit, Damien, Takano, Yoichi, Harada, Kensuke
Publikováno v:
Advanced Robotics; Sep2023, Vol. 37 Issue 18, p1143-1157, 15p