Yasuhiro Mukaigawa

Nara Institute of Science and Technology

Papers

5

Total Citations

56

H-Index

3

About

Yasuhiro Mukaigawa is a leading researcher in computational imaging and 3D vision, with pioneering contributions to active illumination systems and material analysis. His work on **slope disparity gating** using synchronized projector-camera systems has opened new frontiers for robotics, autonomous vehicles, and surveillance, enabling selective imaging of photons from specific surface geometries at a distance. This technique, detailed in his 2019 and 2022 papers, represents a significant advance in active illumination for real-world applications. Mukaigawa also made notable contributions to **3D printing security** with his 2019 blind watermarking algorithm for FDM-printed objects, which modifies layer thickness to embed metadata—a method with applications in counterfeit prevention, robotic grasping, and crime investigation (39 citations). His research extends to **light-field imaging** for planar object pose estimation and **material segmentation** using SPAD-based transient histograms and 1-D convolutional neural networks, demonstrating his versatility in bridging optics, machine learning, and robotics. With over 50 citations across his most-cited works, Mukaigawa’s innovative systems continue to shape the future of intelligent vision and secure manufacturing.

Research Focus

Key Achievements

3
H-Index
5
Papers
56
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Blind Watermarking for 3-D Printed Objects by Locally Modifying Layer Thickness
39 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Nara Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago