| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| ARTIFICIAL VISION AND PATTERN RECOGNITION |
 
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| IDENTIFYING DATA | 2020_21 | |||||||||||||||||
| Subject (*) | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17685105 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | First | 1Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Computer Engineering and Mathematics |
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| Coordinator |
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domenec.puig@urv.cat hatem.abdellatif@urv.cat mohamed.abdelnasser@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
The information published in this guide corresponds to face-to-face classes and can serve as a guide. Due to the health emergency caused by COVID-19 there may be changes in teaching, assessment and calendars for the 2020-21 academic year. These changes will be reported in the Moodle space of each subject. GENERAL DESCRIPTION OF THE SUBJECT:To introduce the fundamental concepts of Computer Vision and further advanced topics related to problems of analysis and automatic recognition of complex images. Theoretical concepts and practical applications will be studied by means of well-known tools of Image Processing and Computer Vision. |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
