Kenji Yamauchi

Papers

1

Total Citations

3

H-Index

1

About

Kenji Yamauchi’s research centers on computational color constancy and image processing under challenging illumination conditions. His most notable contribution is a novel method for extracting the true color of objects from multiple photographs taken at different exposure times, specifically designed for environments with varying and uncontrolled lighting, such as outdoor scenes. This work, published in 2015, addresses a fundamental problem in computer vision and digital photography: separating the intrinsic color of an object from the color cast of the illumination. While his citation count is modest, the work demonstrates a technically rigorous approach to a persistent challenge in the field. Yamauchi’s research is particularly relevant for applications in autonomous systems, surveillance, and any domain where reliable color information is critical despite unpredictable lighting. His method offers a practical solution for robust color extraction, contributing to the broader goal of making computer vision systems more resilient to real-world conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Color Extraction Using Multiple Photographs Taken with Different Exposure Time in RWRC
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago