Intelligent Vision Systems: COMPSCI 773 Semester 1, City Campus

Timetable (Semester 1, 2018)


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Day

Time

Where

Lecture

Tues Feb 26

10-11 am

303-G15

1) Introduction Introduction

Thurs March 1

11am-2pm

303-B05

2-4) 2-3D geometry [1pp], Image features [1pp], camera calibration [1pp]

Tues March 6

10-11am

303-G15

5) Image features [1pp], camera calibration [1pp], Camera calibration exercises [1pp] , Trigonometry [1pp]

Thurs Mar 8

11am-2pm

303-B05

6-8) Bits and pieces about calibration: rotation/translation exercises, Features, Tsai calibration: summary, Tsai's paper, Stereo web camera, Camera distortion, 773 lecture notes on calibration (zip)

Tues 13 Mar

10-11am

303-G15

9) Camera calibration wrap-up - Preparation to the assignment(A2), Literature review and experimental protocol design

Home Work

2013 Guest speaker Edwin Chan: Camera calibration,Voice mp4 Link

Thurs Mar 15

11am-2pm

303-B05

10-12) Experimental procedure, demonstration of calibration experiments, literature review discussion, Non-linear optimization techniques for camera calibration with distortion (Optimization techniques )

Tues Mar 20

10-11am

303-G15

13) Preparation to Assignment A2 (tutorial)

Thurs Mar 22

11am-2pm

303-B05

In-class assignment (A2)

Tues Mar 27

10-11am

303-G15

14) A2 debrief, Trevor's Tutorial: Debugging your calibration and Calibrated Rectification

Thurs 29 March

11am-2pm

303-B05

15-17) Feature Detection

Mid-semester break: March 31 - April 15

Tues 17 April

10-11am

303-G15

18) Features

Thurs April 19

11am-2pm

303-B05

19-21) SIFT features, Intro to VO

Tues Apr 24

10-11am

303-G15

22) Preparation to assignment A3

Thurs April 26

11am-2pm

303-B05

In-class assignment (A3)

Tues May 1

10-11am

303-G15

23) A3 debrief

Thurs May 3

11am-2pm

303-B05

24-26) Stereo vision: Basics of 3D reconstruction - Epipolar Geometry, Essential and Fundamental Matrix, 8-Point Algorithm; see also the review by Z. Zhang .

Tues May 08

10-11am

303-G15

27) Rectification of a stereo pair (a guiding lecture)

Thurs May 10

11am-2pm

303-B05

28-30) Stereo Matching

Tues May 15

11am-1pm

303-G15

No class

Thurs May 17

11am-2pm

303-B05

Stereo Matching in class assignment (A4)

Tues 22 May

10-11am

303-G15

31) A4 debrief

Thurs 24 May

11am-2pm

303-B05

33-34) Final demo preparation, open session

Tues 22 May

10-11am

303-G15

35) Exam preparation

Thurs 31 May

11am-2pm

303-B05

36-38) Final demo, individual assessment

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Lecture notes and additional materials

Recommended reading:

  • R. Hartley and A. Zisserman: Multiple View Geometry in Computer Vision. 2nd edition. Cambridge University Press: Cambridge, UK, 2006.
    • Part 0: Projective geometry, 2D/3D transformations.
    • Part I: Camera geometry and single view geometry.
    • Part II: Two-view geometry: epipolar geometry, fundamental matrix, 3D reconstruction.
  • N. Efford: Digital Image Processing: A Practical Introduction Using JavaTM. Pearson Education Ltd: Essex, UK, 2000.
    • Chapters 1,3: Digital images.
    • Chapters 6, 7: Image filtering and enhancement.
    • Chapter 9: Geometric operations.
    • Chapter 10: Segmentation.
  • C. M. Bishop: Pattern Recognition and Machine Learning. Springer Science+Business Media, LLC: New York, NY, USA, 2006.
    • Chapter 8: Graphical models: inference, factor graphs, sum-product and max-sum algorithms, dynamic programming, loopy belief propagation.

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