Features and Boundaries

Columbia University, founded in 1754 and located in New York City, is a world-renowned Ivy League research university that blends rigorous scholarship with an urban, globally-connected campus life. With a wide range of undergraduate and graduate programs across the arts, sciences, engineering, business, and professional fields, Columbia emphasizes intellectual inquiry, interdisciplinary collaboration, and access to the rich cultural and professional resources of New York.

Columbia’s academic strengths are complemented by extensive research facilities, libraries, and centers that support student-led projects and faculty scholarship. The university’s location enables exceptional internship, networking, and cultural opportunities across finance, media, technology, public policy, and the arts. Small seminars, mentorship from leading scholars, and a strong career services network help students translate academic achievement into professional success.

For international students, Columbia offers language support, international student advising, and a diverse campus community drawn from around the world. The university’s commitment to global engagement, combined with its urban setting, makes it an attractive choice for students seeking a rigorous education, significant research opportunities, and direct access to one of the world’s most vibrant cities.

This program is a non-degree course in Features and Boundaries at Columbia University, taught in English. It's for anyone interested in computer vision, with no prior knowledge required. The program lasts several weeks and focuses on detecting features and boundaries in images.

The curriculum covers topics like edge and corner detection, interest points, and face detection. You'll learn how to use operators based on image derivatives to detect features, and how to use the SIFT detector to find interest points. You'll also work on projects like stitching overlapping images to create a panorama.

After completing this program, you can pursue a career as a Computer Vision Engineer, Image Processing Specialist, or Machine Learning Engineer. You can work in industries like photography, security, or gaming, and companies like Facebook, Apple, or IBM. Your skills in feature and boundary detection will be valuable in many applications, from object recognition to image editing.