Descriptions
First Principles of Computer Vision Specialization, This specialization is designed for those who want to master the first principles of computer vision by advancing their understanding of the mathematical and physical algorithms that empower this field. You will learn to build a complete computer vision system from the ground up, starting with the fundamentals of how cameras form images and progressing to the reconstruction of 3D scenes from multiple images. The curriculum covers the entire pipeline, including image formation, feature detection, and 3D reconstruction, providing a deep, foundational knowledge of how modern computer vision systems work.
Through a series of five courses, you will explore the physics of image formation, the design of cameras, and the algorithms for processing images to detect features like edges and corners. The program then delves into 3D reconstruction from both single and multiple viewpoints, teaching you how to recover the 3D structure of a scene from 2D images. Finally, you will learn about the human visual system, drawing connections between biological and computer vision. This specialization emphasizes a first-principles approach, ensuring you understand not just how to use computer vision libraries, but why they work the way they do.
What you’ll learn
- Understand the physics of image formation and the design of cameras.
- Learn algorithms for processing images to detect features like edges and corners.
- Master the techniques for 3D reconstruction from single and multiple viewpoints.
- Gain insights into the human visual system and its connection to computer vision.
Who this course is for
- Aspiring computer vision engineers who want a deep, foundational understanding.
- Students and researchers in AI, robotics, and graphics.
- Software developers looking to build computer vision systems from scratch.
- Anyone interested in the mathematical and physical principles behind vision technologies.
Specificatoin of First Principles of Computer Vision Specialization
- Publisher : Coursera
- Teacher : Shree Nayar
- Language : English
- Level : Beginner
- Number of Course : 5
- Duration : 7 months to complete at 10 hours a week
Content of First Principles of Computer Vision Specialization
Requirements
- Learners should know the fundamentals of linear algebra and calculus. Knowing any programming language is beneficial, but not required.
Pictures
Installation Guide
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Subtitle : English
Quality: 720
Download Links
Course 1 – Camera and Imaging
Course 2 – Features and Boundaries
Course 3 – 3D Reconstruction – Single Viewpoint
Course 4 – 3D Reconstruction – Multiple Viewpoints
Course 5 – Visual Perception
Password file(s): www.downloadly.ir
File size
62 MB