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 - Single Viewpoint is a basic level programme on 3D reconstruction. The online course is meant for learners who belong to the beginner level skills level. The course is a joint venture by Coursera and Columbia University. 3D Reconstruction - Single Viewpoint Certification Course will walk the learners through the method of recovering the 3D structure of a scene from its 2D images, 3D reconstruction, radiometric principles, depth from focus and defocus, and the like.
3D Reconstruction - Single Viewpoint Training, offered by Coursera, is the third course in the First Principles of Computer Vision Specialization that consists of five programmes. For the students of 3D Reconstruction - Single Viewpoint Certification by Coursera, Coursera specified the prerequisites of having an understanding of fundamental linear algebra and calculus to be eligible for the course. The course, which could be covered within 11 hours at the least, will be very easy for the students who already have a familiarity with any of the programming languages.
The Highlights
- Provided by Coursera
- Offered by Columbia University
- Beginner-level course
- Self-Paced Learning Option
- 100% Online Course
- Around 11 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 |
3D Reconstruction - Single Viewpoint Certification Fee may differ from student to student based on how many months they need to devote to the course to duly finish it. The fee can be played in the EMI payment option and Coursera will give the learned 14 days of the refund period.
3D Reconstruction - Single Viewpoint Fee Structure
Duration | Amount in INR |
1 Month | INR 4,091 |
3 Months | INR 8,182 |
6 Months | INR 12,274 |
Eligibility Criteria
Academic Qualifications
There are a few prerequisites for the students to be able to pursue the 3D Reconstruction - Single Viewpoint online course and they are the fundamental knowledge of calculus and linear algebra. Also, having the potential to deal with any of the programming languages is also beneficial for the learners.
What you will learn
3D Reconstruction - Single Viewpoint Certification Syllabus will provide you with the understanding of:
- Photometric stereo
- Radiometric concepts connected to the light
- Depth from focus and defocus
- Reflectance models and the different physical mechanisms
- Structured light methods
- Reflectance models
- Concepts of photometric stereo
Who it is for
3D Reconstruction - Single Viewpoint Classes are highly suggested for students and professionals who want to explore 3D reconstruction such as a photographer.
Admission Details
Step 1 -Browse the official URL
https://www.coursera.org/learn/3d-reconstruction---single-viewpoint
Step 2- Opt for the option ‘Enroll Now’ and get started with the course.
The Syllabus
Readings
- Course Syllabus
- About the Instructor
- Course Information and Support
- Academic Honesty Policy
- Discussion Forum Etiquette
- Frequently Asked Questions
- Pre-Course Survey
Discussion Prompts
- Introductions
- Week 1 Questions and Feedback
Plugins
- Pre-Course Survey
- 1.1 Overview of Introduction
- 1.2 What is Computer Vision?
- 1.3 What is Vision Used For?
- 1.4 How Do Humans Do It?
- 1.5 Topics Covered
- 1.6 About the Lecture Series
- 1.7 References and Credits
Quiz
- Week 2 Radiometry and Reflectance
Assignments
- 2.2 Radiometric Concepts Self-Check Quiz
- 2.3 Scene Radiance and Image Irradiance Self-Check Quiz
- 2.4 BRDF: Bidirectional Reflectance Distribution Function Self-Check Quiz
- 2.5 Reflectance Models Self-Check Quiz
- 2.6 Reflectance from Rough Surfaces Self-Check Quiz
- 2.7 Dichromatic Model Self-Check Quiz
Discussion Prompts
- Week 2 Lambertian Sphere
- Week 2 Questions and Feedback
Plugins
- 2.1 Overview of Radiometry and Reflectance
- 2.2 Radiometric Concepts
- 2.3 Scene Radiance and Image Irradiance
- 2.4 BRDF: Bidirectional Reflectance Distribution Function
- 2.5 Reflectance Models
- 2.6 Reflection from Rough Surfaces
- 2.7 Dichromatic Model
Quiz
- Week 3 Photometric Stereo
Assignments
- 3.2 Gradient Space and Reflectance Map Self-Check Quiz
- 3.3 Photometric Stereo Self-Check Quiz
- 3.4 Lambertian Case Self-Check Quiz
- 3.5 Calibration Based Photometric Stereo Self-Check Quiz
- 3.6 Shape from Normals Self-Check Quiz
- 3.7 Interreflections Self-Check Quiz
Discussion Prompts
- Week 3 Lambertian Surface
- Week 3 Questions and Feedback
Plugins
- 3.1 Overview of Photometric Stereo
- 3.2 Gradient Space and Reflectance Map
- 3.3 Photometric Stereo
- 3.4 Lambertian Case
- 3.5 Calibration Based Photometric Stereo
- 3.6 Shape from Normals
- 3.7 Interreflections
Quiz
- Week 4 Shape from Shading
Assignments
- 4.1 Overview of Shape from Shading Self-Check Quiz
- 4.2 Human Perception of Shading Self-Check Quiz
- 4.3 Stereographic Projection Self-Check Quiz
- 4.4 Shape from Shading Algorithm Self-Check Quiz
- 4.5 Shading Illusions Self-Check Quiz
Discussion Prompts
- Week 4 Shape from Shading and Photometric Stereo
- Week 4 Questions and Feedback
Plugins
- 4.1 Overview of Shape from Shading
- 4.2 Human Perception of Shading
- 4.3 Stereographic Projection
- 4.4 Shape from Shading Algorithm
- 4.5 Shading Illusions
Quiz
- Week 5 Depth from Defocus
Assignments
- 5.1 Overview of Depth from Defocus Self-Check Quiz
- 5.2 Point Spread Function Self-Check Quiz
- 5.3 Depth from Focus Algorithm Self-Check Quiz
- 5.4 Depth from Defocus Self-Check Quiz
Discussion Prompts
- Week 5 Depth of Field Camera
- Week 5 Questions and Feedback
Plugins
- 5.1 Overview of Depth from Defocus
- 5.2 Point Spread Function
- 5.3 Depth from Focus
- 5.4 Depth from Defocus
Reading
- Post-Course Survey
Quiz
- Week 6 Active Illumination Methods
Assignments
- 6.2 Photometric Stereo Systems Self-Check Quiz
- 6.3 Structured Light Range Finding Self-Check Quiz
- 6.4 Phase Shifting Method Self-Check Quiz
- 6.5 Structured Light Systems Self-Check Quiz
- 6.6 Time of Flight Method Self-Check Quiz
Discussion Prompts
- Week 6 Phase Shifting Method
- Week 6 Questions and Feedback
Plugins
- 6.1 Overview of Active Illumination Methods
- 6.2 Photometric Stereo Systems
- 6.3 Structured Light Range Finding
- 6.4 Phase Shifting Method
- 6.5 Structured Light Systems
- 6.6 Time of Flight Method
- Post-Course Survey
Instructors
Columbia University, New York Frequently Asked Questions (FAQ's)
The students can cover the online course offered by Coursera by spending about 11 hours at the minimum.
Yes, the online programme is completely offered in the online mode by Coursera and the students will have the opportunity to pursue it from the comfort of their homes as it is also offered in self-paced mode.
Yes, in order to be capable and eligible for enrolment into the course, the learned should possess a fundamental knowledge of linear algebra and calculus. Coursera also encourages the learners to have knowledge of any programming language to get more insight throughout the course.
Coursera offers the online course in collaboration with Columbia University. And the course is developed and supervised by Shree Nayar who is the T. C. Chang Professor of computer science at Columbia University.
Yes, Coursera offered financial aid for selected programmes and the ‘Financial aid available’ option will be given in the description for the courses with scholarships.