| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| COMPUTER VISION AND PATTERN RECOGNITION |
| Contents |
| IDENTIFYING DATA | 2016_17 |
| Subject | COMPUTER 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. |
