Course Name: Computer Vision and Image Processing - Fundamentals and Applications

Course abstract

The intent of this course is to familiarize the students to explain the fundamental concepts/issues of Computer Vision and Image Processing, and major approaches that address them. This course provides an introduction to computer vision including image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and selection for pattern classification/recognition, and advanced concepts like motion estimation and tracking, image classification, scene understanding, object classification and tracking, image fusion, and image registration, etc. This course will cover the fundamentals of Computer Vision. It is suited for mainly students who are interested in doing research in the area of Computer Vision. After completing the course, the students may expect to have the knowledge needed to read and understand more advanced topics and current research literature, and the ability to start working in industry or in academic research in the field of Computer Vision and Image Processing. They can also apply all these concepts for solving the real-world problems.


Course Instructor

Media Object

Prof. M. K. Bhuyan

Prof. Manas Kamal Bhuyan received a Ph.D. degree in electronics and communication engineering from the India Institute of Technology (IIT) Guwahati, India. He was with the School of Information Technology and Electrical Engineering, University of Queensland, St. Lucia, QLD, Australia, where he was involved in postdoctoral research.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Mar-2021

 Exam Date : 24-Apr-2021

Enrolled

7266

Registered

345

Certificate Eligible

68

Certified Category Count

Gold

0

Silver

1

Elite

17

Successfully completed

50

Participation

93

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Computer Vision and Image Processing - Fundamentals and Applications - Toppers list

ANIRUDDHA MALLICK 78%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

PRANAV SHARMA 73%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

PRAGYA AGARWAL 68%

Noida Institute of Engineering and Technology

RISHABH BALSE 66%

CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY

SUNKARA VENKATA SAI PRASAD 66%

UNIVERSITY COLLEGE OF ENGINEERING, NARASARAOPET

NARENDRA KUMAR D N 66%

University Visvesvaraya College of Engineering (UVCE)

Enrollment Statistics

Total Enrollment: 7266

Registration Statistics

Total Registration : 345

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.