Advanced Computer Vision & Image Processing using PDEs and Active Contours
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.
Numerical Methods for Optimization and Optimal Control
Algorithms for numerical optimization and optimal control, Gradient-descent techniques, linear programming, numerical linear system solvers, second-order methods for optimizing performance of dynamical systems.
Students are introduced to industrial controls and the fundamentals of
manufacturing with hands-on experience based on lab projects using
industry software and hardware for communications and control.
Crosslisted with TFE 4761.