Masakazu Matsugu
Papers
2
Total Citations
32
H-Index
2
About
Masakazu Matsugu is a pioneering researcher in the intersection of computer vision and neuromorphic hardware, best known for his early and influential work on convolutional neural network (CNN) VLSI design. His landmark 2003 paper, "A Convolutional Neural Network VLSI for Image Recognition Using Merged/Mixed Analog-Digital Architecture," with 29 citations, introduced a groundbreaking mixed-signal architecture that integrated analog and digital processing for efficient, real-time image recognition—a foundational contribution to embedded vision systems. Matsugu also advanced active vision for robotics, as demonstrated in his 2006 work on "Face Tracking Active Vision System with Saccadic and Smooth Pursuit," which combined robust face detection with color histogram-based tracking to enable rapid, human-like eye movements for surveillance and human-robot interaction. His research bridges hardware efficiency and algorithmic intelligence, impacting fields from autonomous systems to smart cameras. With a career spanning hardware-software co-design, Matsugu’s contributions remain vital for low-power, high-speed vision applications, inspiring subsequent work in edge AI and neuromorphic computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Face Tracking Active Vision System with Saccadic and Smooth Pursuit3 citations · 2006