BLG 506E - Computer Vision

Course Objectives

The aim of this course is • To provide a broad introduction to Computer Vision
To introduce the basic concepts and approaches of Computer Vision
To explore the importance of modelling and representation in interpretation of images.
To provide an understanding of the range of processing components involved in computer vision systems.
To Prepare to read the current computer vision research literature.
To Prepare to read the current computer vision research literature.

Course Description

Image Acquisition, Camera parameters and projections, Linear Operators, Smoothing, Edge, line and corner detection, Parameter estimation,RANSAC, warping, Planar homographies, Hough transform:Line, circle and ellipse fitting, Camera Calibration, Stereo: Correspondance problem, epipolar geometry, shape from stereo, Motion: Motion field, optical flow, structure from motion, Shape from shading, photometric stereo, Video Tracking, and Object Recognition, Variational approaches to vision problems