Signals and Systems, Signal Processing, Control, Computational Mathematics
The teaching methodologies include theoretical classes using both the blackboard and the projection of slides as well as practical classes where computational assignments are implemented.
Understand aspects related to the radiometric and geometric image formation. Learn methods to estimate image features and relate them to 3D structures. Learn methods for 3D reconstruction and also for the estimation of 3D motion.
Formation and acquisition of images. Cameras and geometric calibration. Color and radiometry. Linear filters and edge detection. Texture. Segmentation. Stereo Vision. Motion and its projection. Optical flow. 3D reconstruction. Dynamic Vision.
Laboratory work or Field work: 50.0%
Computer Vision -A Modern Approach, Forsyth & Ponce, Prentice-Hall
Introductory Techniques for 3-D Computer Vision, Emanuele Trucco & Alessandro Verri, Prentice-Hall
Multiple View Geometry in Computer Vision, R. Hartley & A. Zisserman, Cambridge University Press