Computer Vision And Image Processing - Fundamentals And Applications

Overview

Explore the core of visual computing with our course on "Computer Vision and Image Processing - Fundamentals and Applications." Designed to lay a solid foundation, this program is geared towards introducing students to the essential principles and challenges in Computer Vision and Image Processing. Delve into topics such as image acquisition, models of image formation, radiometric models, camera image formation, image processing fundamentals, feature extraction, pattern classification, motion estimation, image and object classification, scene understanding, image fusion, and more. This comprehensive course is intended for undergraduates, postgraduates, and Ph.D. students with a keen interest in pursuing research or a career in Computer Vision. By the end of this course, participants will be equipped with the knowledge to comprehend advanced topics, engage with current research literature, and apply these concepts to solve real-world problems. Whether you aim to enter academia or the industry, this course will pave the way for your future endeavors. Prerequisites include a basic understanding of coordinate geometry, matrix algebra, linear algebra, and random processes. This course is supported by software industries developing computer vision applications, offering valuable industry insights. Offered by the Université de Montréal and provided by Swayam. This program is classified under Machine Learning Courses, Computer Vision Courses, Image Classification Courses, and Digital Image Processing Courses.

Syllabus

Taught by

Prof. M. K. Bhuyan

Tags

india