Prof. Felice Andrea Pellegrino

Argomenti del programma: Introduction to Computer Vision Image formation Image processing and multiscale representations Feature detection and description Fitting geometric primitives Camera calibration Stereopsis and multiple-view geometry Foundations of learning Classical recognition (bag-of-words) Convolutional neural networks for Computer Vision Object detection and segmentation Transformers and modern architectures

Argomenti del programma: Introduction to Computer Vision Image formation Image processing and multiscale representations Feature detection and description Fitting geometric primitives Camera calibration Stereopsis and multiple-view geometry Foundations of learning Classical recognition (bag-of-words) Convolutional neural networks for Computer Vision Object detection and segmentation Transformers and modern architectures

Argomenti del programma: 1. Introduction. 2. Solutions to Linear Time Invariant systems. 3. Stability of equilibrium. Stability of LTI systems. 4. Structural properties and special forms. Reachability and controllability. Observability and constructibility. Kalman canonical decomposition. 5. Realization. 6. State feedback. State observer. Separation principle and feedback of the estimated state. Set-point control. Q-design (outline). 7.

Argomenti del programma: Introduction to Computer Vision Image formation Image processing and multiscale representations Feature detection and description Fitting geometric primitives Camera calibration Stereopsis and multiple-view geometry Foundations of learning Classical recognition (bag-of-words) Convolutional neural networks for Computer Vision Object detection and segmentation Transformers and modern architectures