This program focuses on the fundamental task of finding correspondences between parts of a scene in different images, a core problem in computer vision. It covers techniques for detecting distinctive local features in images that are invariant to geometric and photometric transformations. The program then explores how to establish tentative matches between these features and how to use robust algorithms like RANSAC to identify and verify accurate correspondences, filtering out incorrect ones based on a geometric model of the scene. The curriculum involves implementing these components from scratch using libraries like PyTorch and NumPy. Key areas include feature detection methods such as Harris detectors, automatic scale estimation using scale-space representations, computing local invariant descriptions, and establishing tentative correspondences followed by RANSAC for verification. The goal is to build a solid understanding of the underlying principles and practical implementation of correspondence finding in computer vision.
The program delves into the key stages of establishing correspondences between images. Students will learn to implement feature detection, description, and matching algorithms.
Graduates of programs focusing on computer vision and image processing are well-prepared for roles in various technology sectors.
Specific academic requirements may vary. Please refer to the admissions page for detailed information.
Tuition fees are subject to change. Payments can be made in CZK, USD, or EUR. Bank charges are paid by the applicant.
The tuition fee is 132,000 CZK per academic year. Payments can be made in CZK, USD, or EUR, and bank charges are the responsibility of the applicant.
The language of instruction is not explicitly stated in the provided data, but given it's a Master's program at a Czech university, it is likely to be English or Czech. Prospective students should check the university's admissions page for confirmation.
Applicants are generally required to hold a Bachelor's degree in a related field. Specific academic and English language requirements should be verified on the faculty's admissions page.
International students should follow the general admission procedures on the Faculty of Electrical Engineering's admissions page. The application period typically runs from autumn to spring for the following academic year, with admission decisions usually communicated in late spring or early summer.
Graduates can pursue roles such as Computer Vision Engineer, Image Processing Specialist, Robotics Engineer, or Machine Learning Engineer in various technology sectors.
Yes, scholarships for foreign students are available on a merit-based system. Students with excellent grades may be eligible for these scholarships to help cover study expenses.