This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents a variety of methods for detecting features and boundaries and shows how features extracted from an image can be used to solve important vision tasks.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung First Principles of Computer Vision
von


Über diesen Kurs
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
Was Sie lernen werden
Learn how to detect edges and corners in images.
Develop active contours (snakes) to find complex object boundaries.
Learn about the Hough Transform for finding simple parametric shapes in images.
Learn about image transformations and how to estimate the homography between two images.
Kompetenzen, die Sie erwerben
- Scale Space
- Active Contours
- Image Transformations
- Edge and Corner Detection
- SIFT Detector
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
von

Columbia University
For more than 250 years, Columbia has been a leader in higher education in the nation and around the world. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries and service to society.
Lehrplan - Was Sie in diesem Kurs lernen werden
Getting Started: Features and Boundaries
Edge Detection
Boundary Detection
SIFT Detector
Über den Spezialisierung First Principles of Computer Vision
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.

Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.