ANU - FEIT

ENGN4528/6528 - Computer Vision - Lecture Notes

01 (Admin)	Administrivia and course overview
02 - 2D vision	Imaging and images.
03 - 2D vision	Histograms & homogeneous transforms
04 - 2D vision	Binary morphology
05 - 2D vision	Binary image moments
06 - 2D vision	2D convolution
07 - 2D vision	Image gradients and edge pixels.
08 - 2D vision	Edge detectors
L09	Feature Detection

L11	Frequency analysis of images
L12	Colour

L14	Intro to 3D vision. Rotations
L15	Homogeneous transformations
L16	Projective geometry
L17	Lenses and Camera Callibration
L18	Epipolar geometry
L19	Scale invariant least squares solution
L20	Essential matrix
L21	Callibrated reconstruction
L22	Ambiguities and disparity maps.
L23	3D models: Homographies, texture mapping
L24	Assignment 2 - notes and disucssion

L25	Final lecture

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	Faculty of Engineering and Information Technology Department of Engineering