Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Takuma, Sugimoto"'
In this paper, we present a new fault diagnosis (FD) -based approach for detection of imagery changes that can detect significant changes as inconsistencies between different sub-modules (e.g., self-localizaiton) of visual SLAM. Unlike classical chan
Externí odkaz:
http://arxiv.org/abs/1909.09592
Image change detection (ICD) to detect changed objects in front of a vehicle with respect to a place-specific background model using an on-board monocular vision system is a fundamental problem in intelligent vehicle (IV). From the perspective of rec
Externí odkaz:
http://arxiv.org/abs/1904.03555
Loop-closure detection (LCD) in large non-stationary environments remains an important challenge in robotic visual simultaneous localization and mapping (vSLAM). To reduce computational and perceptual complexity, it is helpful if a vSLAM system has t
Externí odkaz:
http://arxiv.org/abs/1902.09822
This paper addresses the problem of cross-domain change detection from a novel perspective of image-to-image translation. In general, change detection aims to identify interesting changes between a given query image and a reference image of the same
Externí odkaz:
http://arxiv.org/abs/1712.08868
Autor:
Masaru Ikegami, Yukihiro Isono, Hiroyuki Fujimoto, Masanobu Kato, Takuma Sugimoto, Kei Takahashi, Masaki Okuda
Publikováno v:
Japanese Journal of Crop Science. 90:451-456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d33e70c2abc71f1c4ffd93a51e611198
https://doi.org/10.1626/jcs.90.451
https://doi.org/10.1626/jcs.90.451
Autor:
Khokan Kumar Saha, Dimas Firmanda Al Riza, Yuichi Ogawa, Tetsuhito Suzuki, Takuma Sugimoto, Naoshi Kondo
Publikováno v:
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 275
The higher chalkiness level of the white core kernel is prone to breakage during the high degree polishing. So, grading white core kernel based on chalkiness level is crucial to making premium quality Sake (rice wine) in the brewing industry. The cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7425ffb95e2f055eef49a745524c2d11
https://pubmed.ncbi.nlm.nih.gov/35325855
https://pubmed.ncbi.nlm.nih.gov/35325855
Publikováno v:
Journal of Robotics and Mechatronics. 31:221-230
Image change detection is a fundamental problem for robotic map maintenance and long-term map learning. Local feature-based image comparison is one of the most basic schemes for addressing this problem. However, the local-feature approach encounters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9173fdcad39bc1badcad18f79ccf17
https://doi.org/10.20965/jrm.2019.p0221
https://doi.org/10.20965/jrm.2019.p0221
Autor:
Akito Kaga, Shoji Sugano, Takuma Sugimoto, Mami Takahashi, Sung Shin Lee, Masao Ishimoto, Chang-Jie Jiang
Publikováno v:
Phytopathology®. 107:216-223
Stem and root rot disease caused by Phytophthora sojae is devastating to soybean crops worldwide. Developing host resistance to P. sojae, considered the most effective and stable means to control this disease, is partly hampered by limited germplasm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::956e8251eba138b92fe853bd21274eb8
https://doi.org/10.1094/phyto-06-16-0233-r
https://doi.org/10.1094/phyto-06-16-0233-r
Publikováno v:
SMC
This paper addresses the problem of cross-domain change detection from a novel perspective of image-to-image translation. In general, change detection aims to identify interesting changes between a given query image and a reference image of the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6798d36ff231da089756ae2d8fbe4518
https://doi.org/10.1109/smc.2018.00222
https://doi.org/10.1109/smc.2018.00222
Publikováno v:
Journal of Life Cycle Assessment, Japan. 10:165-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8819c9420c3ffdce66cfae0e779aff
https://doi.org/10.3370/lca.10.165
https://doi.org/10.3370/lca.10.165