Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) - Online |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Contents |
IDENTIFYING DATA | 2018_19 |
Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17685105 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Compulsory | First | 1Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Topic | Sub-topic |
Chapter 1.- Image Processing. | Filtering, image compensation and image enhancement, morphological operations. |
Chapter 2.- Geometrical Feature Extraction. | Identification of corners, lines and basic geometrical shapes. |
Chapter 3.- Color and Texture Analysis. | Color models, texture types, extraction of textural features, geometric methods. |
Chapter 4.- Image Segmentation and Classification. | Unsupervised segmentation based on contours and regions, supervised classification, methods of decision theory, probabilistic methods, neural networks. |
Chapter 5.- Stereoscopic Vision. | Calibration of cameras and camera systems, epipolar geometry, image rectification, matching, triangulation. |
Chapter 6.- Perception and 3D-modeling. | Generation of depth maps, extraction of basic geometric elements, automatic generation of scenes, scene recognition, geometric hashing. |