Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
3D Reconstruction - Multiple Viewpoint is a self-paced course offered by Coursera in online mode. The learners can pursue the online programme completely from the comfy atmosphere of their homes and fix the deadline as per their time and schedule. 3D Reconstruction - Multiple Viewpoints Certification Course is a detailed peek into the process of 3D structure recovery of a scene out of the images snapped from different viewpoints.
3D Reconstruction - Multiple Viewpoints Training will also provide a deep overview of the binocular stereo, camera model, camera calibration, and the like. The online course, designed for the beginner-level audience, can be completed by the learners at a minimum duration of about eight hours. Offered by Coursera, 3D Reconstruction - Multiple Viewpoints Certification by Coursera is the fourth course in First Principles of Computer Vision Specialization offered by Coursera in collaboration with Columbia University.
The Highlights
- Provided by Coursera
- Offered by Columbia University
- Beginner-level course
- Self-Paced Learning Option
- 100% Online Course
- Around 71 Hours to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Columbia University, New YorkCoursera |
Eligibility Criteria
Academic Qualifications
Coursera stipulates that the learners who want to join the 3D Reconstruction - Multiple Viewpoints online course should have a thorough understanding of the basics of calculus and linear algebra. The learners can get more insight and more advantages from the course if they have mastery of any of the programming languages.
What you will learn
3D Reconstruction - Multiple Viewpoints Certification Syllabus will present the candidates a comprehensive understanding of:
- Camera Calibration
- Calibration of a camera as per the parameters
- Structure from Motion
- Simple Stereo
- Developing a camera model
- Developing optical flow algorithms for motion point estimation in a video sequence.
Who it is for
3D Reconstruction - Multiple Viewpoints Classes is highly suggested and recommended for professionals such as photographers.
Admission Details
Step 1 -Browse the official URL
https://www.coursera.org/learn/3d-reconstruction-multiple-viewpoints
Step 2- Join the course by clicking on the option ‘Enroll Now’.
The Syllabus
Readings
- Course Syllabus
- About the Instructor
- Course Information and Support
- Academic Honesty Policy
- Discussion Forum Etiquette
- Frequently Asked Questions
- Pre-Course Survey
Practice Exercise
- Week 2 Camera Calibration
Practice Exercise
- Week 3 Uncalibrated Stereo
Practice Exercise
- Week 4 Optical Flow
Readings
- Video Correction
- Video Correction
- Post-Course Survey
Practice Exercise
- Week 5 Structure from Motion
Instructors
Columbia University, New York Frequently Asked Questions (FAQ's)
The 3D Reconstruction - Multiple Viewpoints online course is a programme from the First Principles of Computer Vision Specialization offered by Columbia University and Coursera.
No, only the students who completely finished the course proceedings and paid the fee prescribed by Coursera can get hold of the shareable certificate after the completion of the course.
Coursera determines the fee for the course based on the number of months the candidates needed to convert to the programme. And the EMI payment option is provided for the students by Coursera.
The instructor of the certification programme is Shree Nayar who is the T. C. Chang Professor of computer science at Columbia University.