University of Tsukuba | Grad. Scho. Syst. and Info. Eng. | Dept. Comp. Sci. | List of Courses
Kazuhiro Fukui
URL Manaba
Office hours
Cource# 01CH605
Area Intelligent Systems
Basic/Advanced 専門科目
Course style lecture
Term FallAB
Period Tue3,4
Room# 3B303
Keywords Image recognition, pattern recognition, computer vision
relation degree program competence Knowledge Utilization Skills,Management Skills,Communication Skills,Research Skills,Expert Knowledge
Outline This course introduces basic mathematics for image recognition and understanding, while exemplifying various applications: biometrics, face, gesture recognition, 3d object recognition, scene analysis and so on.
Course plan 1. Overview

2. Basic mathematics for Image recognition and understanding

3. Pattern recognitions for image recognition and understanding: Statics pattern recognition, nonlinear pattern recognition, learning theory

4. Nonlinear kernel recognition methods

5. Video image analysis

6. Practical recognition systems

Textbook Slides used in this course are offered on Manaba
References ・Richard O. Duda, ''Pattern Classification''
・Christopher M. Bishop, ''Pattern recognition and Machine learning''
・D. Forsyth, J. Ponce, ''Computer Vision A modern approach''
Evaluation Based on reports on exercise and attendance 
Misc. This class is offered in odd-numbered year