Computer Vision

Year
4
Academic year
2020-2021
Code
02000574
Subject Area
Biomedical Engineering
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Signals and Systems, Signal Processing, Control, Computational Mathematics 

Teaching Methods

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. 

Learning Outcomes

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. 

Work Placement(s)

No

Syllabus

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.

Assessment Methods

Assessment
Laboratory work or Field work: 50.0%
Exam: 50.0%

Bibliography

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