SAKAUE Fumihiko

SAKAUE Fumihiko is an Associate Professor at the Faculty of Engineering, Department of Information Engineering at Okayama University. He holds a Doctor of Engineering degree from Okayama University, awarded in 2006. His research focuses on innovative computer vision and computational photography techniques, aiming to develop novel methods for 3D measurement and real-time motion analysis without relying on conventional cameras or computers. His work integrates light-ray processing and spatiotemporal modulation to enhance visual information extraction and has contributed significantly to fields such as pattern recognition and imaging systems.

Education background includes graduation from Okayama University's Faculty of Engineering in 2001, followed by earning his Doctor of Engineering degree from the same institution in 2006.

His research interests span several key areas in informatics and engineering, including:

• Perceptual information processing for dynamic visual analysis
• Computer vision applications in 3D reconstruction and motion capture
• Computational photography techniques for advanced imaging systems
• Pattern recognition methodologies in unstructured environments
• Development of light-based measurement systems without conventional sensors
• Integration of light projection and observation for real-time data interpretation

SAKAUE has received numerous awards, including:

• MIRUインタラクティブ発表賞 (2024)
• Best student paper award at International Workshop on Frontiers of Computer Vision (2022)
• Best paper award at INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (2022)
• MIRU2018長尾賞 (2018)
• 山下記念研究賞 (2018)
• CGVI研究会優秀研究発表賞 (2017)
• ICPR Best Student Paper Award (2016)
• MIRUインタラクティブ発表賞 (2019)
• MRU2016インタラクティブ発表賞 (2016)

In terms of advising, SAKAUE has guided notable students including Toshiki Kamiya (recipient of 2022 Best Student Paper Award) and Yuma Nishikawa (2024 Best Student Paper award recipient). He has secured multiple grants from the Japan Society for the Promotion of Science (JSPS), including a 2020-2023 grant focused on 3D motion visualization through spatiotemporal light-ray integration, and a 2016-2019 grant on 5D light field display technologies. Additional funding includes a 2022-2025 project with Aichi Prefecture for AI-driven textile inspection systems.

SAKAUE collaborates with interdisciplinary research teams at Okayama University, focusing on developing innovative imaging systems and sensorless vision technologies. His work often involves partnerships with industry through patents and applied research projects, such as the 'Position Measurement Device' (2016) and 'Three-Dimensional Information Presentation Device' (2014), demonstrating practical applications of his theoretical research.