Image Analysis I

The following topics are discussed: Image segmentation, detecting edges, regions, and feature points. Measuring objects for recognition based on features. Classification using discriminant functions, classification based on clustering, classification using neural networks. Using deep neural networks for image analysis. Reconstructing 3D scenes. Analysing 3D point clouds. Processing images varying in time. Object tracking. Recognising actions from video frames. The course includes the computer labs in which the computer programs are realised corresponding to the mentioned topics.

Graduates of this course will be able to:
- Describe selected methods of image segmentation, image analysis, video analysis, and 3D model reconstruction from images.
- Describe methods for detecting and classifying objects in images using various types of neural networks.
- Design, invent, develop, implement, and test algorithms in the above-mentioned areas.
- Assess, evaluate, compare, and recommend algorithms and software products that solve problems in the above-mentioned areas.