Overview
This First Principles of Computer Vision course 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
Skills you'll gain
- 3d reconstruction
- perception
- Object Recognition
- features and boundaries
- Camera and imaging
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Get more details
Visit programme websiteProgramme Structure
Courses included:
- Camera and Imaging
- Features and Boundaries
- 3D Reconstruction Single Viewpoint
- Visual Perception
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences Human Computer Interaction Web Technologies & Cloud Computing View 145 other Short Courses in Human Computer Interaction in United StatesExplore more key information
Visit programme websiteAcademic 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
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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.