Shoichi Shimizu

About

Shoichi Shimizu is a researcher whose work has significantly advanced the fields of computer vision and robotics, particularly in the context of real-time object tracking and multi-camera systems. His key research areas include stereo vision, 3D position measurement, and robust object detection without reliance on color segmentation. Shimizu’s major contribution is the development of a novel stereo vision system that uses two unsynchronized cameras to calculate the 3D position of objects, a breakthrough that eliminates the need for costly synchronization hardware. This work, published in 2004, has garnered 13 citations and laid the groundwork for more flexible and accessible 3D tracking. Additionally, his research on robust and accurate detection of object orientation and ID, presented in 2006 and 2007, addresses critical challenges in the RoboCup Small Sized League (F180), where vision systems must perform reliably under varying lighting conditions. By achieving robust detection without color segmentation, Shimizu’s work has enhanced the performance of autonomous robots in dynamic environments. His contributions are particularly notable for their practical impact on robotics, enabling more adaptive and resilient visual feedback systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Fast 3D position measurement with two unsynchronized cameras

   13 citations · 2004
2. 2
   Robust and Accurate Detection of Object Orientation and ID Without Color Segmentation

   6 citations · 2006
3. 3
   Robust and Accurate Detection of Object Orientation and ID without Color Segmentation

   6 citations · 2007

Key Collaborators

Contact & Links