Faculty Profile
Professor: Digital Media, Graduate School
Hiroshi HANAIZUMI
- Ph.D. (Communication Engineering)
Personal Statement
Hiroshi HANAIZUMI received the B.Sc. degree in communication engineering from the University of Electro-Communications, Tokyo, Japan, in 1978, and the M.Sc. and Dr. Eng. Degrees in instrumentation physics from The University of Tokyo, Japan, in 1980 and 1987, respectively. From 1981 to 1987 he was a research assistant at the Department of Mathematical Engineering and Information Physics, The University of Tokyo. He joined Hosei University in 1987 as a Lecturer in the Department of Industrial and Systems Engineering, was an Associate Professor from 1989 to 1995, and has been a Professor since 1996. Since 2000, he has been a member of the Faculty of Computer and Information Sciences, Hosei University. His current research areas include remote sensing, face recognition, and 3D medical image processing. He is a member of the IEEE Computer Society, the Geoscience and Remote Sensing Society, the Institute of Electronics, Information and Communication Engineers, and the Society of Instrument and Control Engineers.
Teaching Courses
Goal
It is important to extract useful information, which will be introduced into Cyber World, from actual signals and/or images. Difficulty in developing new algorithms lets me find that human recognition is very complicated and sophisticated. I am studying on recognition techniques which realize the higher performance in recognition like a human.
Undergraduate School
- Project A?
- Project B?
- Digital Signal Processing
- Image Processing
- Seminar on Computer Science
- Thesis
Graduate School
- Advanced Signal Processing?
- Medical Image Processing and/or Face Image Processing I ?
- Medical Image Processing and/or Face Image Processing II ?
- IT Factory Seminar II?
- Research Semimar II?
- Research Course in Computer and Information Sciences?
- Master Thesis
- Doctor Dissertation
Laboratory
Current research themes are
- Clustering methods for multi-dimensional data,
- Data fusion techniques for remotely sensed data,
- Digital elevation model using InSAR phase processing,
- Person recognition using face image processing,
- Person tracing and left objects using video image processing, and
- 3D medical image processing.