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Swayam Central

Introduction to Computer Vision

By Prof. Brejesh Lall   |   IIT Delhi
This course will introduce the audience to the subject of computer vision. The camera model will be introduced and camera calibration and epipolar geometry concepts will be explained. Object and texture representation will be discussed, and effect of light and shading and colour will be introduced. Use of CNN in vision will be taught, especially for object detection/classification and depth estimation.

INTENDED AUDIENCE: Any Interested Learners
PREREQUISITES: 1. Basic calculus: Finding derivatives, maximize a function by finding where the derivative=0.
2. Linear algebra: Matrix transpose, inverse, and other operations to do algebra with matrix expressions. Transformation matrices to rotate/transform points, Singular Value Decomposition.
3. Basic probability and statistics: Understanding of conditional probability, mean, and variance.
4. Some programming skills: such as entry-level Matlab/python and the ability to work in the Linux environment
INDUSTRY SUPPORT: Samsung, Qualcomm, LG, TI, Google, Microsoft, amazon, Facebook and many more

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 29 Jul 2019
End Date : 18 Oct 2019
Exam Date : 17 Nov 2019
Category :
  • Electrical, Electronics and Communications Engineering
  • Level : Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1: Introduction to computer vision, basics of linear algebra and geometry Week 2: Edge Detection and RANSAC, Interest Points and Corners, Local Image Features (SIFT, FAST, HARRIS) and Feature Matching Week 3: Introduction to CNN; CNN basics, Networks: VGGNet, InceptionNet, ResNet, 3D CNN, RNN, LSTM and GAN Week 4: Object detection and classification: CNN based approaches – R-CNN to FASTER and Single shot detector architectures such as YOLO Week 5: Texture representation Week 6: Light and Shading Week 7: Color Week 8: Camera model and camera calibration Week 9: Flow estimation: Traditional and CNN based, Flow based tracking Week 10: Epipolar geometry and introduction to depth estimation; stereopsis Week 11: Dense correspondence and depth propagation Week 12: Overview of action recognition using (a) RNN (b) 3D CNN

    BOOKS AND REFERENCES

    1. Computer Vision: A Modern Approach, 2nd Edition, by David A. Forsyth, Jean Ponce 2. Computer Vision: Algorithms and Applications by Richard Szeliski 3. Deep Learning, by Ian Goodfellow and Yoshua Bengio and Aaron Courville

    INSTRUCTOR BIO


    Prof. Brejesh Lall is a faculty member of Electrical Engineering Department, IIT Delhi. At this time he is also the head of Bharti School of Telecom Technology and Management. Besides, he is the co-ordinator of the Ericsson 5G center of excellence at IIT Delhi. His research interests include signal processing, image processing, computer vision and wireless communications.

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centers.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 17th November 2019 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE
    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched.

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