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Overview
This First Principles of Computer Vision Specialization is offered by Coursera in partnership with Columbia University.
What you'll learn
- Master the working principles of a digital camera and learn the fundamentals of imaging processing
- Create a theory of feature detection and develop algorithms for extracting features from images
- Explore novel methods for using visual cues (shading, defocus, etc.) to recover the 3D shape of an object from multiple images or viewpoints
- Get exposed to fundamental perceptions tasks such as image segmentation, object tracking, and object recognition
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Columbia University
Skills you'll gain
- Computer Vision
- Mathematics
- Algorithms
Programme Structure
Courses included:
- Camera and Imaging
- Features and Boundaries
- 3D Reconstruction - Single Viewpoint
- 3D Reconstruction - Multiple Viewpoints
- Visual Perception
Key information
Duration
- Part-time
- 7 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Human Computer Interaction Web Technologies & Cloud Computing View 410 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Recommended experience: Learners should know the fundamentals of linear algebra and calculus. Knowing any programming language is beneficial, but not required.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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