Чему вы научитесь
- Know the basic approaches of getting objects models.
- Know the basic techniques for objects segmentation.
- Know the methods of objects detection.
- Can perform segmentation using different approaches, e.g. k-means.
- Can perform Hough transformation for getting geometric primitives.
- Can use detectors for features extraction.
- Can use Viola-Jones approach for face detection.
О курсе
The course focuses on the key methods and approaches of computer vision. The course concerns the key sections of computer vision applications, such as features, detectors, descriptors, segmentation, object detection, and classic methods of face detection. During the practical part, the students obtain skills of feature extraction and object detection using the OpenCV open-source library.
Начальные требования
It is expected that students already know the Python programming language and the basics of image processing in order to enroll in this course.
Преподаватели курса
165
Нагрузка
3-5 hours a week