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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: 978-1848829343, 2021.
- E. R. Davies. Computer Vision: Principles, Algorithms, Applications, Learning. Academic Press, ISBN: 978-0128092842, 2018.
- D. Forsyth and J. Ponce. Computer Vision: A Modern Approach (2nd Edition), Pearson Publishing, ISBN: 978-0136085928, 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
- Dataset source files
Signatures M11324: [Shared Folder]
Signatures M11408: [Shared Folder]
Signatures M11467: [Shared Folder]
Signatures M11946: [Shared Folder]
Signatures M11819: [Shared Folder]
Signatures M11364: [Shared Folder]
Signatures M11911: [Shared Folder]
Signatures M11954: [Shared Folder]
Signatures M11466: [Shared Folder]
Signatures M12113: [Shared Folder]
- 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) Wednesday, June 8th, 2022, 14:00. Room 6.18
- 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 (Calibration): [pdf]
Theoretical slides (Signals and Systems): [pdf]
Theoretical slides (Deep Learning): [pdf]
(Consolidation lecture)
Theoretical slides (Deep Learning, cont): [pdf]
Theoretical slides (Deep Learning, Architectures): [pdf]
Theoretical slides (Gradient Descend + Backpropagation): [pdf]
Theoretical slides: [pdf]
Theoretical slides: [pdf]