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
Features and Boundaries is an online course meant for the beginner level who are interested in exploring features and boundaries in images. The online certification programme is a jointly offered online programme by Coursera and Columbia University. Features and Boundaries Certification Course will shed light on the concepts related to features and boundaries in imaging such as object recognition, metrology and object detection.
Features and Boundaries Training, provided by Coursera, is the second programme in the five-course First Principles of Computer Vision Specialization offered by Columbia University. Features and Boundaries Certification by Coursera can be taken by any beginner who wants to learn the features and boundaries. But, Coursera specified a set of eligibility criteria to be eligible for the certification fundamental knowledge of linear algebra and calculus.
The Highlights
- Provided by Coursera
- Offered by Columbia University
- Beginner-level course
- Self-Paced Learning Option
- 100% Online Course
- Around 24 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 |
The fees for the course Features and Boundaries is -
| Head | Amount in INR |
| 1 month | Rs. 4,117 |
| 3 month | Rs. 8,234 |
| 6 month | Rs. 12,352 |
Eligibility Criteria
Academic Qualifications
Features and Boundaries online course demands from the learner certain prerequisites to be eligible for the online programme. The criteria are to have a basic level of understanding of linear algebra and calculus. Plus, it is also recommended for prospective students to have knowledge of any programming language
What you will learn
Through the Features and Boundaries Certification Syllabus, the candidates will have the opportunity to understand:
- Scale-space
- Detection of edges and corners in images
- Active contours
- Image transformations
- Hough transform
- Edge and corner detection
- SIFT detector
Who it is for
Features and Boundaries Classes is a very suitable online programme for learners who want to learn imaging and related aspects including the professionals like photographer.
Admission Details
Step 1 -Browse the official URL
https://www.coursera.org/learn/features-and-boundaries
Step 2- Click the option ‘Enroll Now’ and join the online certification.
The Syllabus
Readings
- Course Syllabus
- About the Instructor
- Course Information and Support
- Academic Honesty Policy
- Discussion Forum Etiquette
- Frequently Asked Questions
- About the Instructor
- Pre-Course Survey
Reading
- Week 2 Lecture Handout
Practice Exercises
- What is an Edge? Self-check Quiz
- Edge Detection Using Gradients Self-check Quiz
- Edge Detection Using Laplacian Self-check Quiz
- Canny Edge Detector Self-check Quiz
- Corner Detection Self-check Quiz
- Week 2 Edge Detection
Reading
- Week 3 Lecture Handout
Practice Exercises
- Fitting Lines and Curves Self-check Quiz
- Active Contours Self-check Quiz
- Hough Transform Self-check Quiz
- Generalized Hough Transform Self-check Quiz
- Week 3 Boundary Detection
Reading
- Week 4 Lecture Handout
Practice Exercises
- What is an Interest Point? Silf-check Quiz
- Detecting Blobs Self-check Quiz
- SIFT Detector Self-check Quiz
- SIFT Descriptor Self-check Quiz
- Week 4 SIFT Detector
Practice Exercises
- 2x2 Image Transformations Self-check Quiz
- 3x3 Image Transformations Self-check Quiz
- Computing Homography Self-check Quiz
- Dealing with Outliers: RANSAC Self-check Quiz
- Warping and Blending Images Self-check Quiz
- Week 5 Image Stitching
Reading
- Post-Course Survey
Practice Exercises
- Overview of Face Detection Self-Check Quiz
- Uses of Face Detection Self-Check Quiz
- Haar Features for Face Detection Self-Check Quiz
- Integral Image Self-Check Quiz
- Nearest Neighbor Classifier Self-Check Quiz
- Support Vector Machine Self-Check Quiz
- Week 6 Face Detection