Research Field(Keyword & Summary) |
- Image Processing
Research is being conducted on pre-processing and super-resolution to facilitate the analysis of camera images and other data. Specifically, research is being conducted on noise reduction for rain, snow, and salt and pepper noise, as well as on super-resolution and data interpolation methods for application to analysis methods.
- Image Analysis
Research is being conducted on structural analysis and structure recognition from various image data, such as monochrome, color, 3D, and electron microscope data. Specifically, in black-and-white and color images, we are studying animal body recognition and face recognition; in 3D images, we are studying object shape recognition and architectural structure analysis; and in electron microscope images, we are looking at structure analysis in the material structure. In electron microscope images, we analyze filler structures in material forms.
- 3D Processing
The research covers the handling of 3D images to 3D stereoscopic displays. For 3D stereoscopic displays, we also incorporate naked-eye 3D displays and airborne levitation displays to make it easier to recognize the results after 3D processing.
- Artificial Intelligence
Research on face recognition, structural analysis, signal recognition, and noise reduction in artificial intelligence using big data is being conducted. Recently, as an interdisciplinary fusion researcher, he has been working with seismologists on structural analysis of 3D point clouds of earthquake epicenter distribution.
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Representative Papers |
- Rei Kobayashi, Yoshihiro Sato, Yoshiki Takahashi, Masahito Maemura, Masaya Miura, Yue Bao, Detection of Rockfalls on Tunnel Faces Using Extracted Moving Objects, Excavation Point Estimation, and Generation of Trajectory Images, The Open Civil Engineering Journal, 2023, 16
- Yoshihiro Sato, Fumio Munakata, Morphological characteristics of self-assembled aggregate textures using multifractal analysis: Interpretation of Multifractal τ(q) Using Simulations, Physica A: Statistical Mechanics and its Applications, 2022, Volume 603, 127771
- Yoshihiro Sato, Yue Bao, Identification of 3D Lip Shape during Japanese Vowel Pronunciation Using Deep Learning. Appl. Sci. 2022, 12, 4632
- Fumio Munakata, Kazuya Ookubo, Mariko Takeda, Yoshihiro Sato, et al. Self-assembly process under a solid-state reaction of β-Si3N4/austenitic stainless-steel composites: stirring conditions and material texture, Journal of Composite Materials, 2022, 56(3), 455-466.
- Mariko Takeda, Haruna Yamazaki, Yoshihiro Sato, et al. , Effect of dispersant viscosity for self-assembly process of barium titanate aggregates in material texture of polyvinylidene fluoride composites —evaluation of multifractal dimension (Dq [q = 0, 1, 2]) and dielectric properties—, Journal of the Ceramic Society of Japan, 2022, 130, 1, 21-28
- Yoshihiro Sato, Yuka Mizukami, Mariko Takeda, Kazuya Okubo, Ryota Kobayashi, Fumio Munakata, Quantitative evaluation of morphological characteristics of self-assembled aggregates using multifractal analysis, Physica A: Statistical Mechanics and its Applications, 2021, Volume 581, 126219
- Yoshihiro Sato, Yuto Osada, Rei Kobayashi, and Yue Bao, "Aerial floating 3D display device with lenticular-type naked-eye 3D display and a crossed-mirror array," Appl. Opt. 2021, 60, 8267-8276,
- Yoshihiro Sato, Yue Bao, Log-Polar Facial Recognition Using Minimum Feature Band, International Journal of Pattern Recognition and Artificial Intelligence, 2021, Vol. 35, No. 09, 2156003
- Fumio Munakata, Mariko Takeda, Kazuhiro Nemoto, Kazuya Ookubo, Yoshihiro Sato, Yuka Mizukami, Masashi Koga, Satoko Abe, Yue Bao, Ryota Kobayashi, Multifractal characteristics of the self-assembly material texture of β-Si3N4/SUS316L austenitic stainless steel composites, Journal of Alloys and Compounds, 2021, Volume 853, 156570
- Yoshihiro Sato,Yuichiro Kitamura, Takamichi Hirata,Yue Bao. Investigation of Visual Stimulus Signals Using Hue Change for SSVEP. Appl. Sci. 2021, 11, 1045
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