画像認識特論_E
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Instructor(s) |
Kazuhiro Fukui
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kfukui@cs.tsukuba.ac.jp | |
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 |
Prerequisites | |
relation degree program competence | Knowledge Utilization Skills,Management Skills,Communication Skills,Research Skills,Expert Knowledge |
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 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 |
TF / TA | |
Misc. | This class is offered in odd-numbered year |