M.Sc. (Information Technology) Computer Vision Practical Syllabus - Mumbai University
This is the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Semesters I and II are set by item 6.29 (N) and Semesters III and IV by item 6.2 (N). The University examines this programme under form 1113161, whose Summer 2026 timetable is headed NEP-2020; the distance and older Choice Based modes of the same degree are examined under different forms and different papers.
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Syllabus for Computer Vision Practical
- I Perform Geometric transformations Perform Image Stitching Perform Camera Calibration
- II Perform the following: a. Face detection b. Object detection c. Pedestrian detection d. Face recognition Construct 3D model from images Implement object detection and tracking from video
- III Perform Feature extraction using RANSAC Perform Colorization
- IV Perform Text detection and recognition Perform Image matting and Composting
Books and References
- 1 Computer Vision: Algorithms Richard Szeliski Springer 1 st 2010 and Applications Edition
Reproduced from the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Wording, unit numbering and lecture allocation are as printed in that syllabus. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for the whole diploma. Open it here if you want the whole thing rather than a single subject.
Use Part 1 or Part 2 NEP first so the module scope matches your Mumbai University exam.
Use MSc IT notes only after confirming the semester units and topic order.
Open MSc IT question papers after the syllabus check so revision follows the same course structure.