About the Course

Syllabus

1. Introduction: Recent advances in computer vision and uses in the industry

2. Mathematical tools

   • Optimization

   • Deep learning

3. Image processing

   • Point operators

   • Linear and non-linear filters

   • Fourier transforms

4. Features and movement

   • Feature detection

   • Image alignment and stitching

   • Movement, tracking

   • Structure from motion and SLAM

5. Recognition

   • Image classification, object detection

   • Semantic segmentation