Course is dedicated to 2D computer vision methods. Program includes image formation process, image filtering, local features detection and matching, image retrieval, robust fitting methods, introduction to machine learning and deep learning, image categorization, object detection, image segmentation, optical flow estimation, background subtraction, object tracking, action recognition. Lectures are accompanied by seminars and practical tasks.The course is taught in Moscow State University and Yandex School of Data Analysis.
Video processing and compression
Course program include human optical system, color and light modeling, basic image processing and analisis, basics of signal processing, rendering pipeline, OpenGL, introduction to shaders, global illumination, ray tracing and radiosity methods.
Introduction to medical image analysis
This course is devoted to medical problems, involving image analysis, and state-of-the-art algorithms used for solving these problems. Besides basic algorithms for segmentation, feature extraction and description, algorithms based on machine learning are presented. Also, image matching, or registration algorithms, that play an important role in medical image analysis, are presented. The course is accompanied by the practical task where the students are free in choosing the algorithms.