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.
提供:


このコースについて
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
学習内容
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.
習得するスキル
- 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.
提供:

コロンビア大学(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.
シラバス - 本コースの学習内容
Getting Started: Features and Boundaries
Edge Detection
Boundary Detection
SIFT Detector
レビュー
- 5 stars91.66%
- 4 stars8.33%
FEATURES AND BOUNDARIES からの人気レビュー
Another excellent course on first principles of comuter vision.
Amazing course , Well explained and interesting assignments!!!
First Principles of Computer Vision専門講座について
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.

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