Akira Shibata
Papers
1
Total Citations
15
H-Index
1
About
Akira Shibata’s research centers on advancing three-dimensional (3D) measurement techniques for robotics, with a particular focus on Structure from Motion (SfM) methods. His most notable contribution, the 2015 paper “Scale-reconstructable Structure from Motion using refraction with a single camera,” addresses a fundamental challenge in SfM: recovering absolute scale from a single moving camera. By exploiting the optical phenomenon of refraction, Shibata demonstrated how a single camera can achieve scale-reconstructable 3D reconstructions—a breakthrough that eliminates the need for stereo rigs or external sensors. This work, which has garnered 15 citations, provides a practical and cost-effective solution for robots to accurately perceive their environment using minimal hardware. Shibata’s approach is particularly impactful for applications in autonomous navigation, mapping, and object recognition, where precise 3D data is critical. His research bridges computer vision and robotics, offering a clever, physics-based method to enhance spatial understanding. For students and researchers, Shibata’s work exemplifies how creative use of optical principles can solve persistent problems in 3D measurement, making it a valuable reference for those exploring monocular vision systems and geometric reconstruction.
Research Focus
Key Achievements
Top Papers
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