| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| ARTIFICIAL VISION AND PATTERN RECOGNITION |
 
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| IDENTIFYING DATA | 2017_18 | |||||||||||||||||
| 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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| Lecturers | |
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| General description and relevant information | 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. | ||||||||||||||||||
