University of Tsukuba | Grad. Scho. Syst. and Info. Eng. | Dept. Comp. Sci. | List of Courses
画像認識特論_E
Instructor(s)
Kazuhiro Fukui
E-Mail kfukui@cs.tsukuba.ac.jp
URL For reference, 2013 homepage (in Japanese)
Office hours
Cource# 01CH605, 01CJ224
Area Intelligent Systems
Basic/Advanced
Course style lecture
Term FallAB
Period Tue3,4
Room# 3B303
Keywords Image recognition, pattern recognition, computer vision
Prerequisites
Goal
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 associated Web-site.
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 report on exercise, attendance
TF / TA
Misc.
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