Yuichi
Yaguchi
Ph.D (Computer Science and Engineering)
Associate Professor
Robot Engineering Laboratory & CAIST ARC Robot, University of Aizu
@Listel Inawashiro, Fukushima. September, 2015
WHO I AM
The fear of the Lord is the beginning of knowledge, But fools despise wisdom and instruction.
(Proverbs 1:7 - NKJV)
I'm a researcher to study computer vision, information visualization and data mining. Ability of the human perception and recognition is very powerful, high performance and amaizing quality, and actually the Load has given us them. I'm also christian that I believe Jesus Christ and his father. All our knowledge comes from the Load, and I want to know and get more truth of the Load's system. Computer vision and social network mining is one of the view to know the grace of the Load.
Lectures in AY2018
Q1
Algorithm & Data Structure II
1Q, 3nd grade, Monday & Thursday, M7 Lecture Room & STD5 Exercise Room
Q2
Digital Image Processing
2Q, 4nd grade, M1 Lecture Room & STD3 Exercise Room
Q3
Image Recognition and Undestanding
3Q, Graduate, M11 Lecture room
Q3
Modern Controll Theory
3Q, Graduate, S11, STD6
Q4
Natural Language Processing & Information Retrieval
4Q, 3rd grade, STD6, STD3, Exercise Room
Find Me
Research Themes: Drone, Vision and Systems
Computer Vision for Controlling :
To find between two images, we are studying about or voxel matching method continuous dynamic programming. 2DCDP is an implementation full-pixel matching. This algorithm is effective to match objects it has deformation between two images.
Information Visualization:
To find matching pattern between two images, we are studying about full pixel or voxel matching method by imploving continuous dynamic programming. 2DCDP is an implementation for full-pixel matching. This algorithm is effective to match objects it has deformation between two images.
Multiple Drone Control:
Controlling multiple drone is able to make "drone fleet" with sensors.
Simultaneous Localization and Mapping/ Visual Odmetry:
After matching all pixels between two or more images, we can reconstruct from this information. We are challenging about 3DTV construction by few cameras, 3D surface reconstruction from aerial images and transparent object reconstruction.