Basics Leading to Machine Vision.- Working with Pixels.- Visualising Pixel Intensity Distributions.- Linear Filtering.- Edges, Lines, Corners, Gaussian kernel and Vorono? Meshes.- Delaunay Mesh Segmentation.- Video Processing. An Introduction to Real-Time and Offline Video Analysis.- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes.- Postscript. Where Do Shapes fit into the Computer Vision Landscape?.