DEPARTAMENTO DE FÍSICA

 

Computer Vision and Biological Perception - EB

Ano letivo: 2017-2018
Specification sheet

Specific details
course codecycle os studiesacademic semestercredits ECTSteaching language
2003629126pt,en


Learning goals
To acquire knowledge on the workings of biological vision, particularly human, and of the computational models that emulate biological vision. To develop computational skills applicable to clinical models and robotics.
Syllabus
Methodology for the study of biological vision.
Neurobiology of photoreceptors, ganglion and cortical cells.
Physiological and perceptual color spaces.
Analysis of the perception of 2D and 3D motion.
Methodologies for the Study of Perception.
Models and Image Formation.
Initial Vision.
Intermediate Vision.
Higher Level Vision.
Prerequisites
-
Generic skills to reach
. Computer Skills for the scope of the study;
. Competence in working in interdisciplinary teams;
. Valuing diversity and multiculturalism;
. Critical thinking;
. Adaptability to new situations;
. Competence to solve problems;
. Creativity;
. Initiative and entrepreneurial spirit;
. Planning and managing;
. Research skills;
(by decreasing order of importance)
Teaching hours per semester
lectures45
seminar15
tutorial guidance15
total of teaching hours75

Assessment
Problem solving25 %
Exam75 %

Bibliography of reference
D. A. Forsyth and J. Ponce, Computer Vision: A Modern Approach , Prentice Hall, Upper Saddle River, N.J., 2003

The Visual Neurosciences MIT Press Edited by Leo M. Chalupa and John S. Werner November 2003 ISBN 0-262-03308-9

Hartley, R.I. and Zisserman, A., Multiple View Geometry in Computer Vision,Second ed., 2004, Cambridge University Press, ISBN: 0521540518

Artigos científicos/Scientific papers
Teaching method
Teaching will be based on theoretical and practical classes where the main aspects of the workings of biological vision, particularly human, and of the computational models that emulate biological vision will be presented. There will also happen seminars and weekly presentations by the students, tutored by the teachers, as well as practical problems of a computational nature resulting from the application of topics covered in the theoretical classes.
Resources used

Os alunos deverão ter acesso a ferramentas computacionais, em particular MatLab, e acesso a computadores.