Useful Resources for CVML

Computer Vision

1. Introduction to computer vision

2. Image acquisition, camera geometry

3. Stereo and Multiview imaging

4. Structure from motion

5. Localization and mapping

6. Object tracking and 3D localization

7. Motion estimation

Machine Learning

1. Introduction to Machine Learning

2. Introduction to neural networks, Perceptron

3. Multilayer perceptron. Backpropagation

4. Deep neural networks. Convolutional NNs

5. Deep learning for object detection

6. Deep Semantic Image Segmentation

Autonomous Systems

1. Introduction to autonomous systems

2. Introduction to multiple drone systems

3. Drone mission planning and control

4. Introduction to car vision

5. Introduction to autonomous marine vehicles

CVML Algorithms and Programming

1. CVML programming tools

Signals and Systems

1. Fast 1D convolution algorithms

2. Fast 2D convolution algorithms

CVML PROGRAMMING EXERCISES

Υou can improve your programming knowledge on Computer Vision, Machine Learning and Image/Video Processing topics through programming exercises using OpenCV, PyTorch and CUDA on the following topics:

1. Introduction to OpenCV Programming

2. CNN image classification

3. PyTorch for deep object detection

4. OpenCV programming for object tracking

5. CUDA programming of 2D convolution algorithms

SELF-ASSESSMENT

You can now assess your CVML knowledge and background by performing the exercise described in:

https://aiia.csd.auth.gr/cvml-knowledge-self-assessment/

Thanks to Prof. I. Pitas for sharing these resources