Lectures

No lectures during the Graduation Week (May 2 - May 6, 2011)

Timetable (Semester 1, 2011)

Day	Time	Where	Lecture
Feb 28	2-3pm	303S-169	1) Introduction
March 3	10-12am	303S-169	2-3) 3D reconstruction: image matching & stereo correspondence
March 7	2-3pm	303S-169	4) Window-based 2/3D correlation matching
March 10	10-12am	303S-169	5-6) Correlation with soft masking of outliers & 1D Dynamic programming matching
March 14	2-3pm	303S-169	7) 1D Dynamic programming based stereo matching
March 17	10-12am	303S-169	8-9) 2D energy minimisation methods: Min cut/max flow based stereo
March 21	2-3pm	303S-169	10) Belief propagation based optimisation
March 24	10-12am	303S-169	11-12) Linear algebra basics, fundamental matrix & image rectification

Lecture notes and additional materials

• Introduction to 773 (pdf-file; handouts: 6 slides p/page)
• Lectures notes (pdf-file) on 2D/3D vision geometry, camera calibration, colour discrimination, and binary machine vision.
• 2D/3D additional lecture notes
• My calibration
• Colour space: 1.html  2.html
• Features
• PCA
• LDA
• Extended lecture notes (pdf) and lecture slides (pdf) on random processes and Kalman filtering.
• Computational stereo vision: extended web-based lecture notes & additional references
• Lecture notes on computational stereo vision: epipolar geometry and stereo matching
• Lecture slides on math tools (linear algebra): pdf
• Lecture slides on epipolar geometry (shorter version): pdf
• Lecture slides on epipolar geometry (more detailed version): pdf
• Lecture slides on 3D reconstruction: pdf
• Lecture slides on stereo correspondence: pdf and handouts pdf (6 slides/page)
• Lecture slides on correlation matching: pdf and handouts pdf (6 slides/page)
• Lecture slides on dynamic programming based matching: pdf and handouts pdf (6 slides/page)
• Lecture slides on minimum cut / maximum flow based matching: pdf and handouts pdf (6 slides/page)
• Lecture slides on belief propagation based approximate optimisation: pdf and handouts pdf (6 slides/page)