Computer Vision detailed syllabus for Biomedical Engineering (BME) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the BME 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 Biomedical Engineering 6th Sem scheme and its subjects, do visit BME 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to BME Professional Elective-V syllabus scheme. The detailed syllabus of computer vision is as follows.
Course Objectives:
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Unit I
INTRODUCTION
Computer Vision ,What is Computer Vision – Low-level, Mid-level, High-level ; Fundamentals of Image Formation, Transformation: Orthogonal, Euclidean, Affine, Projective.
Unit II
FEATURE EXTRACTION
Feature Extraction -Edges – Canny, LOG, DOG; Line detectors (Hough Transform), Corners -Harris and Hessian Affine, Orientation Histogram, SIFT, SURF, HOG, GLOH, Scale-Space9 Analysis- Image Pyramids and Gaussian derivative filters, Gabor Filters.
Unit III
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Unit IV
3D VISION
Methods for 3D vision – projection schemes – shape from shading – photometric stereo – shape from texture – shape from focus – active range finding – surface representations – point-based representation – volumetric representations – 3D object recognition – 3D reconstruction
Unit V
MOTION d
Introduction to motion – triangulation – bundle adjustment – translational alignment – parametric motion-spline-based motion- optical flow – layered motion.
Practicals
- Document Image Analysis
- Biometrics based Recognition
- Object Recognition
- Object Tracking
- Medical Image Analysis
- Content-Based Image Retrieval
- Video Data Processing
Course Outcomes:
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Text Books:
- Richard Szeliski, “Computer Vision: Algorithms and Applications”, Springer Verlag London Limited,2011
- Simon J. D. Prince, Computer Vision: Models, Learning, and Inference, Cambridge University Press, 2012
- D. A. Forsyth, J. Ponce, “Computer Vision: A Modern Approach”, Pearson Education, 2003 REFERENCES
- Mark Nixon and Alberto S. Aquado, Feature Extraction & Image Processing for Computer Vision, Third Edition, Academic Press, 2012.
- E. R. Davies, “Computer & Machine Vision”, Fourth Edition, Academic Press, 2012.
- Concise Computer Vision: An Introduction into Theory and Algorithms, by Reinhard Klette, 2014.
For detailed syllabus of all the other subjects of Biomedical Engineering 6th Sem, visit BME 6th Sem subject syllabuses for 2021 regulation.
For all Biomedical Engineering results, visit Anna University BME all semester results direct link.