Kazuhide Sugimoto

National Institute of Advanced Industrial Science and Technology, Sanyo (Japan)

Papers

Total Citations

H-Index

About

Kazuhide Sugimoto is a researcher whose work has centered on advancing 3D vision systems, with a particular focus on creating versatile and practical solutions for robotics and autonomous navigation. His most significant contribution is the development of the VVV (Versatile Volumetric Vision) system, a foundational 3D vision framework designed for broad application across fields including robotics, medical welfare, CAD, and virtual reality. This system, detailed in his most-cited paper (26 citations), addresses the core challenges of range sensing and 3D shape description. Sugimoto further extended this work into the realm of mobile robotics, where he developed algorithms for integrating and interpreting incomplete stereo data to build comprehensive 3D boundary representations of unstructured environments. This approach, which leverages 2D boundary representations from stereo images, enables robots to incrementally construct a complete model of their surroundings from partial views. While his citation counts reflect a focused, technical audience, Sugimoto’s contributions are notable for their emphasis on practical, real-world deployment of 3D vision, bridging the gap between theoretical computer vision and applied robotics.