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Course Detail

Course Name Computer Vision
Course Code 18CS709
Credits Coimbatore
Year Taught 2018


Course Syllabus

Image Formation Models – Monocular imaging system, Orthographic & Perspective Projection, Camera model and Camera calibration, Binocular imaging systems. Image Processing and Feature Extraction – Image representations (continuous and discrete), Edge detection. Motion Estimation, Regularization theory, Optical computation, Stereo Vision, Motion estimation, Structure from motion. Shape Representation and Segmentation, Deformable curves and surfaces, Snakes and active contours, Level set representations, Fourier and wavelet descriptors, Medial representations, Multiresolution analysis. Object recognition – Hough transforms and other simple object recognition methods, Shape correspondence and shape matching, Principal component analysis, Shape priors for recognition.

Text Books / References

  1. Computer Vision – A modern approach, by D. Forsyth and J. Ponce, Prentice Hall
  2. Robot Vision, by B. K. P. Horn, McGraw-Hill.


‘Computer Vision’ is an Elective (Computer Vision Stream) course offered for the M. Tech. in Computer Science and Engineering at School of Engineering, Amrita Vishwa Vidyapeetham.

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