Computer Vision detailed syllabus for Computer Science & Engineering (CSE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Computer Science & Engineering 5th Sem scheme and its subjects, do visit CSE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CSE Professional Elective-I syllabus scheme. The detailed syllabus of computer vision is as follows.
Course Objectives:
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Unit I
INTRODUCTION TO IMAGE FORMATION AND PROCESSING 6 Computer Vision – Geometric primitives and transformations – Photometric image formation – The digital camera – Point operators – Linear filtering – More neighborhood operators – Fourier transforms – Pyramids and wavelets – Geometric transformations – Global optimization.
Unit II
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Unit III
FEATURE-BASED ALIGNMENT & MOTION ESTIMATION 6 2D and 3D feature-based alignment – Pose estimation – Geometric intrinsic calibration – Triangulation – Two-frame structure from motion – Factorization – Bundle adjustment – Constrained structure and motion – Translational alignment – Parametric motion – Spline-based motion – Optical flow – Layered motion.
Unit IV
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Unit V
IMAGE-BASED RENDERING AND RECOGNITION 6 View interpolation Layered depth images – Light fields and Lumigraphs – Environment mattes -Video-based rendering-Object detection – Face recognition – Instance recognition – Category recognition – Context and scene understanding- Recognition databases and test sets.
Practical Exercises:
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Course Outcomes:
At the end of this course, the students will be able to:
- To understand basic knowledge, theories and methods in image processing and computer vision.
- To implement basic and some advanced image processing techniques in OpenCV.
- To apply 2D a feature-based based image alignment, segmentation and motion estimations.
- To apply 3D image reconstruction techniques
- To design and develop innovative image processing and computer vision applications.
Text Books:
- Richard Szeliski, Computer Vision: Algorithms and Applications, Springer- Texts in Computer Science, Second Edition, 2022.
- Computer Vision: A Modern Approach, D. A. Forsyth, J. Ponce, Pearson Education, Second Edition, 2015.
Reference Books:
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For detailed syllabus of all the other subjects of Computer Science & Engineering 5th Sem, visit CSE 5th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Engineering results, visit Anna University CSE all semester results direct link.