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Selected topics in Computer Vision

Class at Faculty of Mathematics and Physics |
NPGR041

Syllabus

Contrast and intensity manipulation, HDR, noise reduction, edge detection.

Global and local features for 2D object description.

Statistical pattern recognition, supervised and unsupervised learning, convolutional networks.

Annotation

The lecture is focused on selected topics of computer vision. The graduate will master the advanced techniques of computer vision, image processing and recognition, such as feature extraction from the image, HDR, etc.