Susumu Furukawa
Papers
1
Total Citations
2
H-Index
1
About
Susumu Furukawa is a researcher whose work lies at the intersection of computational geometry, robotics, and knowledge-based systems. His most cited paper, "An algorithm for deciding congruence of polyhedra" (1990), addresses a fundamental challenge in robot vision and shape classification: determining whether two three-dimensional objects are congruent or similar. This algorithm, based on the decomposition of polyhedra, provides a systematic method for comparing shapes—a critical capability for object recognition and automated reasoning. While his citation count is modest, the conceptual contribution of this work is significant, as it tackles the core problem of shape equivalence that underpins many modern computer vision and geometric processing systems. Furukawa's research demonstrates a deep engagement with the theoretical foundations of spatial reasoning, offering practical solutions for knowledge-based systems that must interpret and categorize physical objects. His work remains relevant for students and researchers interested in the algorithmic challenges of shape analysis, computational geometry, and the early development of methods that would later influence fields like 3D modeling and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1An algorithm for deciding congruence of polyhedra.2 citations · 1990