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.
Este curso faz parte do Programa de cursos integrados First Principles of Computer Vision
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Informações sobre o curso
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
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Experimente o Coursera for BusinessO que você vai aprender
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.
Habilidades que você terá
- 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.
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Experimente o Coursera for Businessoferecido por
Programa - O que você aprenderá com este curso
Getting Started: Features and Boundaries
Edge Detection
Boundary Detection
SIFT Detector
Avaliações
- 5 stars88,88%
- 4 stars11,11%
Principais avaliações do FEATURES AND BOUNDARIES
A little bit advanced, but the quality of the slides and presentations is superb.
Amazing course , Well explained and interesting assignments!!!
Another excellent course on first principles of comuter vision.
Sobre Programa de cursos integrados First Principles of Computer Vision

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