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Columbia University

First Principles of Computer Vision

Columbia University via Coursera Specialization

Overview

This specialization presents the first comprehensive treatment of the foundations of computer vision. It focuses on the mathematical and physical underpinnings of vision and has been designed for learners, practitioners and researchers who have little or no knowledge of computer vision. The program includes a series of 5 courses. Any learner who completes this specialization has the potential to build a successful career in computer vision, a thriving field that is expected to increase in importance in the coming decades.

Syllabus

Course 1: Camera and Imaging
- Offered by Columbia University. This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or ... Enroll for free.

Course 2: Features and Boundaries
- Offered by Columbia University. This course focuses on the detection of features and boundaries in images. Feature and boundary detection is ... Enroll for free.

Course 3: 3D Reconstruction - Single Viewpoint
- Offered by Columbia University. This course focuses on the recovery of the 3D structure of a scene from its 2D images. In particular, we are ... Enroll for free.

Course 4: 3D Reconstruction - Multiple Viewpoints
- Offered by Columbia University. This course focuses on the recovery of the 3D structure of a scene from images taken from different ... Enroll for free.

Course 5: Visual Perception
- Offered by Columbia University. The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image ... Enroll for free.

Courses

Taught by

Shree Nayar

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