PLEASE NOTE 

THE SEQUENCING FOR 2021-22 FIRST.

THERE ARE SOME CHANGES IN THE SEQUENCE AS WELL AS CONTENTS. NEW CONTENTS WERE INTRODUCED (ICP).

FIRST 3 WEEKS COMPRISE LECTURES 1-7 , 13-14 and 22-23 (detail and focus will differ)

SLIDES FOR THE MOST PART WILL MAINTAIN.


BELOW, links for the lectures of Prof. J. Santos Victor and PIV slides 2020


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Lecture #24: Active contours. Object Recognition.

Lecture #23: Image Segmentation

Lecture #22: Epipolar geometry. Fundamental matrix

Lecture #21: Stereo reconstruction. Epipolar geometry

Lecture #20: Optic flow estimation. Stereo

Lecture #19: Introduction to optical flow

Lecture #18: Image registration. Intensity-based methods

Lecture #17: Image registration. Geometric methods

Lecture #16. Colour representations. Metrics

Lecture #15: Texture. Colour

Lecture #14: SIFT Features. Texture

Lecture #13: Keypoints. Harris Corners. Scale.
Lecture #12: Generalised Hough Transform

Lecture #11: Edges. Hough Transform

Lecture #10: Image Processing: Non-linear filtering.
Lecture #9:   Image processing: Linear filtering. 

Lecture #8:   Motion Field. Image Processing.

Lecture #7:   Applications of homographies. Ransac

Lecture #6:   Camera calibration. Homographies
Lecture #5:   Perspective projection. Camera parameters

Lecture #4:   Geometric background. Camera modelling

Lecture #3:   Geometric background
Lecture #2:   Visual Perception. CV Applications
Lecture #1:   Course introduction. Motivation. Visual Perception

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