Robot Vision
W1 •Introduction to computer vision & module admin. •Image formation W2 •Camera parameters, camera calibration •Image noise & filtering W3 •Image gradient, edge detection •Matching, binary image analysis Edge Detection W4 •Image texture & Image segmentation •Fitting: voting and the Hough transform Noise Filtering W5 •image warping and stitching •Local features: image matching and detection Hough Transform W6 •Active Imaging W7 •Local features (SIFT, SURF, HoG etc) W8 •Multiple-view Geometry W9 •Indexing instances •Image categorisation •Face recognition •Object recognition W10 •Deep learning for computer vision
Questions
- Introduction
- Why is computational vision challenging? Some applications.
- Registration & Segmentation
- How image segmentation (histogram-based) depends on image resolution?