Computer Vision Genap 2016-2017

Materi Perkuliahan Mata Kuliah Computer Vision semester Genap Tahun Ajaran 2016-2017. Kelas Perkuliahan A,B dan C.

1 Introduction (Week 01)

    1A Introduction

2 Image Processing for Computer Vision (Week 02)

    2A Linear image processing
    2B Model fitting
    2C Frequency domain analysis

3 Camera Models and Views (Week 03)

    3A Camera models
    3B Stereo geometry
    3C Camera calibration
    3D Multiple views

4 Image Features (Week 04)

    4A Feature detection
    4B Feature descriptors
    4C Model fitting

5 Lighting (Week 05)

    5A Photometry
    5B Lightness
    5C Shape from shading

6 Image Motion (Week 06)

    6A Overview
    6B Optical flow


PROJECT ( Week 07)

EVALUASI CAPAIAN PEMBELAJARAN I

7 Tracking ( Week 08-09)

    7A Introduction to tracking
    7B Parametric models
    7C Non-parametric models
    7D Tracking considerations

8 Classification and Recognition ( Week 10-11)

    8A Introduction to recognition
    8B Classification: Generative models
    8C Classification: Discriminative models
    8D Action recognition

9 Useful Methods ( Week 12)

    9A Color spaces and segmentation
    9B Binary morphology
    9C 3D perception

10 Human Visual System ( Week 13)

    10A The retina
    10B Vision in the brain

PROJECT II ( Week 14 )

EVALUASI CAPAIAN PEMBELAJARAN II

Referensi:
Introduction to Computer Vision
Buku Szeliski

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