Features and Boundaries

Columbia University via Coursera

Overview

Embark on a journey with Columbia University's enlightening course offered through Coursera, titled Features and Boundaries. This meticulously designed curriculum dives deep into the essential techniques for detecting features and boundaries within images, setting the foundation for advanced vision tasks such as object detection, recognition, and precise metrology. Beginning with the fundamentals of edge and corner detection through derivative-based operators, the course advances towards unraveling the concept of an "interest point" for its critical role in capturing unique local appearances in images. With the aid of the SIFT detector, participants will master the art of creating wide-angle panoramas by stitching overlapping images seamlessly. Moreover, the course tackles the challenge of face detection in images, opening doors to numerous practical applications. Perfect for those interested in Machine Learning and Computer Vision, this course promises to equip learners with the knowledge to solve pivotal vision tasks effectively.

Syllabus

Taught by

Shree Nayar

Features and Boundaries

Overview

Syllabus

Taught by

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