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.
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.
Higher Level Vision.
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
total of teaching hours
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 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.
Os alunos deverão ter acesso a ferramentas computacionais, em particular MatLab, e acesso a computadores.