ECE Course Syllabus
ECE6560 Course Syllabus
Advanced Computer Vision & Image Processing using PDEs and Active Contours (3-0-3)
- ECE 6550
- Catalog Description
- Algorithms for computer vision and image processing, emphasizing partial-differential equation and active contour methods. Topics include image smoothing and enhancement, edge detection, morphology, and image reconstruction.
- No Textbook Specified.
- Topical Outline
Brief PDE Background * Introductory theory for linear partial differential equations * Algorithms and issues for numerical implementation Nonlinear Image Denoising and Enhancement Algorithms * Greyscale Image Smoothing using Anisotropic Diffusion * Continuous Morphology Methods for Grayscale Images Design of Nonlinear Image Filters using the Calculus of Variations Active Contour Methods * Differential geometry for curves * Snakes (parametric active contours) * Geometric active contours (curve evolution) * Level Set Methods (implicit active contours) Advanced Computer Vision Algorithms * Image segmentation using active contours * Optical flow and steory disparity estimation using PDE's. * Variational Approaches to Image Registration * Visual Tracking with Active Contours 3D Surface Reconstruction Algorithms * Differential geometry for surfaces * Volumetric Image Segmentation using Active Surfaces * Variational Approaches to Shape from Shading * Multi-view Stereo Surface Reconstruction Color Image Processing * Multi-channel versus geometric modeling of color imagery * Color Image Denoising, Inpainting, Smoothing, and Enhancement Shape Analysis * Shape Comparison and Matching * Shape Morphing * Shape correspondence algorithms
© 2020 Georgia Institute of Technology