Computer Vision and Biological Perception

Recommended Prerequisites

Not applicable.

Teaching Methods

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.

Learning Outcomes

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.

Work Placement(s)

No

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.

Head Lecturer(s)

Miguel Sá Sousa Castelo Branco

Assessment Methods

Continuous evaluation
Continuous evaluation: 100.0%

Bibliography

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.