
University of Beira Interior
COMPUTER VISION
 The Four "R"s of Computer Vision
 Geometry and Image Formation
 Light and Color, Cameras and Optics, Pixels and Image Representations
 Image Processing
 Linear Systems, Spatial and Frequency Domains, Convolution and Filters, Edge detection, Keypoints Detection
 Camera Calibration
 Epipolar Geometry
 Object Detection and Segmentation
 AdaBoost detector, Hough Transform, Active Contours
 Multiple Views and Motion
 Stereo Correspondence, Optical Flow
 Image Representation
 Feature Extraction, Principal Components Analysis
 Image Classification and Recognition
 Feature Matching, Nearest Neighbour Classification, Linear Classification, Support Vector Machines
 Neural Networks
 Cost Functions Optimisation, Gradient Descend, Retropropagation Algorithm
 Deep Learning Models
 Layers and Configurations, Convolutional Neural Networks, AlexNet, VGGNet, ResNet, Preprocessing, Data Augmentation
 R. Szeliski. Computer Vision: Algorithms and Applications. Springer, ISBN: 9781848829343, 2021.
 E. R. Davies. Computer Vision: Principles, Algorithms, Applications, Learning. Academic Press, ISBN: 9780128092842, 2018.
 D. Forsyth and J. Ponce. Computer Vision: A Modern Approach (2nd Edition), Pearson Publishing, ISBN: 9780136085928, 2012.
 Assiduity (A) To get approved at this course, students should attend to  at least  80% of the theoretical and practical classes
 Practical Project (P) The practical projects of this course weights 50% (10/20) of the final mark
 To get approved at the course, a minimal mark of 5/20 should be obtained in the practical project part;
 The pratical project mark is conditioned to an individual presentation and discussion by each student;
 Written Test (F) Friday, June 4th, 2022, 14:00. Room 6.17
 Mark (M) M = (A >= 0.8) * (P * 10/20 + F * 10/20)
 Admission to Exams Students with M >= 6 are admitted to final exams
 The practical projects mark is considered in all exam epochs;
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]