N. Ohtuki
Papers
1
Total Citations
8
H-Index
1
About
N. Ohtuki is a researcher whose work lies at the intersection of computer vision and mobile robotics, with a particular focus on enabling machines to perceive and interpret color in complex, outdoor environments. Their most cited paper, "Color impression factor: an image understanding method for outdoor mobile robots" (2002, 8 citations), addresses a fundamental challenge in field robotics: the instability of color perception under varying natural conditions. Ohtuki identified and tackled two critical problems—the hue shift of objects due to seasonal, weather, and lighting changes, and the significant color variation between sunny and shaded areas. By proposing the "color impression factor," they developed a method to stabilize color interpretation, allowing robots to maintain reliable visual understanding despite these environmental fluctuations. This contribution is particularly valuable for autonomous navigation and outdoor scene analysis, where consistent color recognition is essential for tasks like object detection and terrain classification. While their citation count reflects a focused niche, Ohtuki's work represents an important step toward robust, real-world vision systems for mobile robots operating beyond controlled laboratory settings.
Research Focus
Key Achievements
Top Papers
- 1