Yuichi Ohta
University of Tsukuba, Kobe University, The University of Osaka
Papers
7
Total Citations
71
H-Index
4
About
Yuichi Ohta is a researcher whose work spans computer vision, color science, and robotic control systems — bridging the gap between intelligent perception and precise mechanical manipulation. His most recognized contribution lies in the domain of color constancy, where he developed novel computational approaches enabling machines to perceive stable surface colors despite varying illumination conditions. His 2002 paper proposing a multi-image algorithm for color constancy — leveraging a robot's capacity to store and compare past visual information — stands as his most influential work, garnering 39 citations and offering a practically elegant solution to a longstanding challenge in robot vision. Complementing this, his 1994 work on recovering illuminant and surface colors using CIE daylight models further established his expertise in computational color perception. Beyond vision, Ohta made meaningful contributions to robotic control, including symbolic methods for implementing linearizing compensators, parallel processing schemes for dynamic robot control, and gain-scheduled control strategies for semiconductor wafer transfer robots. His 1997 reflections on computer vision's evolution from robotics sensor technology toward immersive image media demonstrate a broader intellectual curiosity about where the field was heading. Taken together, his research profile reflects a versatile scientist dedicated to making machines see and move more intelligently.
Research Focus
Key Achievements
Top Papers
- 1An approach to color constancy using multiple images39 citations · 2002
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- 5A parallel processing scheme for dynamic control of robotic manipulators3 citations · 2002
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