Machine Vision

Course title: Machine Vision

Code: 3ФЕИТ05Л023

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: None

Course Goals (acquired competencies): The course should enable students to gain basic knowledge on theoretical and practical aspects of image analysis and machine vision. Upon successful completion of the course, students will understand basics of robust feature detection in images, understand various methods for registration, alignment, and matching in images, understand the basics of 2D and 3D machine vision, object and scene categorization. They will posses practical skills that are necessary for implementing machine vision applications.

Total available number of classes: 180

Course Syllabus: Basic concepts of image, image processing and machine vision. Image segmentation. Representation and description of images. Context recognition. Image retrieval. Automatic image annotation. Object description and recognition. Human figure and face recognition. Feature tracking and motion estimation. Image formation models. 3-D scene reconstruction from single view and multiple views. Structure from motion. Structure from focus, silhouettes and shadows.

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