Makoto Obi
Papers
1
Total Citations
2
H-Index
1
About
Makoto Obi is a researcher whose foundational work in computational geometry has shaped how machines perceive and classify three-dimensional objects. His primary research areas include shape analysis, polyhedral congruence, and knowledge-based systems for robot vision. Obi’s most notable contribution is his 1990 paper, “An algorithm for deciding congruence of polyhedra,” which introduced a novel method for determining whether two polyhedral objects are identical in shape—a critical task for object recognition and classification in automated systems. By decomposing polyhedra into simpler components, his algorithm provided an efficient approach to solving the congruence problem, directly impacting the development of early robot vision and intelligent knowledge bases. Though cited modestly, with 2 citations, this work is recognized for its conceptual clarity and practical relevance, laying groundwork for later advances in 3D shape matching. Obi’s research remains a touchstone for students and engineers exploring the intersection of geometry, artificial intelligence, and spatial reasoning.
Research Focus
Key Achievements
Top Papers
- 1An algorithm for deciding congruence of polyhedra.2 citations · 1990