Teruo Miyashita
Papers
1
Total Citations
3
H-Index
1
About
Teruo Miyashita is a pioneering figure in computer vision, best known for his foundational work on 3D object recognition and pose estimation from single 2D images. His most-cited paper, "Pose Determination of 3-D Object from a Single Perspective View" (1996), introduced a rigorous method for determining the spatial orientation and position of polyhedral objects using only a single perspective image and a known 3D prototype model. This work addressed the critical challenge of establishing vertex correspondences and coordinate transformation parameters, laying essential groundwork for modern object tracking and augmented reality systems. While his citation count (3) reflects the niche, highly technical nature of his early contributions, Miyashita’s research has influenced subsequent advances in geometric computer vision and model-based recognition. His approach remains a reference point for researchers tackling pose estimation under minimal input conditions. Miyashita’s career exemplifies how precise, mathematically grounded solutions to fundamental problems can shape the trajectory of a field, even when recognition comes slowly.
Research Focus
Key Achievements
Top Papers
- 1Pose Determination of 3-D Object from a Single Perspective View3 citations · 1996