Careers360 Logo
Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure
Compare

Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Visual Perception is an online course for beginners that is flexibly designed and can be taken by learners at their own pace and convenience. The certification programme by Coursera will guide the learners on computer vision systems and all of the major problems of perception. Visual Perception Certification Course, provided by Coursera, is part of the First Principles of Computer Vision Specialization that is offered by Columbia University. 

Visual Perception Training is developed and taught by Shree Nayar who is a professor of computer science at Columbia University. Visual Perception Certification by Coursera can be completed by the students within 82 hours at the least. To be eligible for the online course, the learners must have a basic understanding of calculus and linear algebra. 

The Highlights

  • Provided by Coursera
  • Offered by Columbia University
  • Beginner-level course 
  • Self-Paced Learning Option
  • 100% Online Course
  • Around 82 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 AvailabilityCertificate Providing Authority
yesColumbia University, New YorkCoursera

Visual Perception Certification Fee will differ depending on how much time the applicant wanted to successfully finish the online course. Coursera provides the learners with the option of EMI payment and a refund period of 14 days. 

Visual Perception Fee Structure

Duration

Amount in INR

1 Month 

INR 4,117

3 Months 

INR 8,234 (INR 2,745 /month)

6 Months 

INR 12,352 (INR 2,059 /month)


Eligibility Criteria

Academic Qualifications

Visual Perception online courses can be taken only by learners who have a basic understanding of linear algebra and calculus. Plus, it is also recommended that the learners have the knowledge of any programming language that will help them to get more benefits out of the online course. 

What you will learn

Knowledge of photography

Visual Perception Certification Syllabus will give the learners a sheer glimpse to :

  • Appearance matching
  • Tracking
  • Object tracking methods. 
  • Separation of an image into an object 
  • Image Segmentation
  • Computer Vision

Who it is for

For any professional and learners who want to learn visual perception, especially photographers, Visual Perception Classes is a very recommended programme. 


Admission Details

Step 1 -Browse the official URL 

https://www.coursera.org/learn/perception

Step 2- Click on the option of ‘Enroll Now’ and join the online 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
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 Object Tracking
Assignments
  • 2.2 Change Detection Self-Check Quiz
  • 2.3 Gaussian Mixture Model Self-Check Quiz
  • 2.4 Object Tracking using Templates Self-Check Quiz
  • 2.5 Tracking by Feature Detection Self-Check Quiz
Discussion Prompt
  • Week 2 Object Tracking
Plugins
  • 2.1 Overview of Object Tracking
  • 2.2 Change Detection
  • 2.3 Gaussian Mixture Model
  • 2.4 Object Tracking using Templates
  • 2.5 Tracking by Feature Detection

Quiz
  • Week 3 Image Segmentation
Assignments
  • 3.2 Segmentation by Humans Self-Check Quiz
  • 3.3 Segmentation as Clustering Self-Check Quiz
  • 3.4 k-Means Segmentation Self-Check Quiz
  • 3.5 Mean-Shift Segmentation Self-Check Quiz
  • 3.6 Graph Based Segmentation Self-Check Quiz
Plugins
  • 3.1 Overview of Image Segmentation
  • 3.2 Segmentation by Humans
  • 3.3 Segmentation as Clustering
  • 3.4 k-Means Segmentation
  • 3.5 Mean-Shift Segmentation
  • 3.6 Graph Based Segmentation

Quiz
  • Week 4 Appearance Matching
Assignments
  • 4.2 Shape vs. Appearance Self-Check Quiz
  • 4.3 Learning Appearance Self-Check Quiz
  • 4.4 Principal Component Analysis Self-Check Quiz
  • 4.5 Finding Principal Components Self-Check Quiz
  • 4.6 PCA and SVD Self-Check Quiz
  • 4.7 Parametric Appearance Representation Self-Check Quiz
  • 4.8 Appearance Matching Self-Check Quiz
Discussion Prompt
  • Week 4 Smartphones using 3D Sensors
Plugins
  • 4.1 Overview of Appearance Matching
  • 4.2 Shape vs. Appearance
  • 4.3 Learning Appearance
  • 4.4 Principal Component Analysis
  • 4.5 Finding Principal Components
  • 4.6 PCA and SVD
  • 4.7 Parametric Appearance Representation
  • 4.8 Appearance Matching

Reading
  • Post-Course Survey
Quiz
  • Week 5 Neural Networks
Reading
  • Post-Course Survey
Assignments
  • 5.2 Perceptron Self-Check Quiz
  • 5.3 Perceptron Network Self-Check Quiz
  • 5.4 Activation Function Self-Check Quiz
  • 5.5 Neural Network Self-Check Quiz
  • 5.6 Gradient Descent Self-Check Quiz
  • 5.7 Backpropagation Algorithm Self-Check Quiz
  • 5.8 Example Applications Self-Check Quiz
  • 5.9 When to Use Machine Learning? Self-Check Quiz
Peer Review
  • Peer Review (Test)
Discussion Prompt
  • Week 5 Neural Networks
Plugins
  • 5.1 Overview of Neural Networks
  • 5.2 Perceptron
  • 5.3 Perceptron Network
  • 5.4 Activation Function
  • 5.5 Neural Network
  • 5.6 Gradient Descent
  • 5.7 Backpropagation Algorithm
  • 5.8 Example Applications
  • 5.9 When to Use Machine Learning?
  • Post-Course Survey

Instructors

Columbia University, New York Frequently Asked Questions (FAQ's)

1: Which university is associating with Coursera to provide the Visual Perception online course?

Columbia University is the collaborator of Coursera to administer the online certification programme.

2: Who is the faculty at Columbia University who supervises the learning process of Visual Perception online certification?

The professor at Columbia University who is in charge of the online programme is Shree Nayar.

3: Who are the audience and learners meant by the Visual Perception online course?

The online course on Visual Perception is developed and designed for beginner-level learners. 

4: What is the title of the specialization in which the online course is a part?

The specialization in which the online certification programme is a part is the First Principles of Computer Vision Specialization. 

5: What is the minimum completion time needed for the learners to cover the online course fully?

The learners can cover the online course fully within approximately 82 hours at the least. 

Articles

Back to top