Introduction to Computer Vision

Overview

Delve into the world of computer vision with this introductory course, brought to you by Georgia Institute of Technology and provided through Udacity. This course covers the fundamentals of image formation, camera imaging geometry, feature detection and matching, multiview geometry including stereo, motion estimation and tracking, and classification. It aims to develop basic methods for various applications like model identification in images, depth retrieval from stereo, camera calibration, image stabilization, automated alignment for creating panoramas, tracking, and action recognition. Emphasis is placed on understanding the intuition and mathematics behind the methods taught in lectures, complementing the theoretical knowledge with practical exercises to highlight the difference between theory and practice. Unlike many courses, here the focus is less on machine learning within computer vision, encouraging a hands-on approach with low to mid-level algorithms for image analysis and structural information extraction rather than relying heavily on high-level library functions. This is a perfect opportunity to learn about the intricacies of computer vision in a practical, engaging manner. Categories include Computer Vision Courses.

Syllabus

Taught by

Irfan Essa and Aaron Bobick

Tags

united states