Educational guide School of Engineering |
english |
Computer Engineering: Computer Security and Intelligent Systems (2013) |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Sources of information |
IDENTIFYING DATA | 2016_17 |
Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17665209 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Optional | 1Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Basic |
D.A. Forsyth, Computer Vision: A Modern Approach, Pearson Education, 2012 R. Szeliski, Computer vision: algorithms and applications, Springer, 2011 N.J. Hackensack, Handbook of pattern recognition and computer vision, Imperial College Press, 2010 L. Shapiro, G. Stockman, Computer Vision, Prentice Hall, 2001 E. Trucco, A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998 |
Complementary |
E.R. Davies, Machine Vision: Theory, Algorithms, Practicalities, Academic Press, 1997 O. Faugeras, Three-Dimensional Computer Vision, MIT Press, 1993 |