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  • 10:07 PM, Sunday, 20 Sep 2020


Course Postgraduate
Semester Electives
Subject Code ESG667
Subject Title Computer Vision and Advanced Image Processing

Syllabus

Image Formation Models, Monocular imaging system, Orthographic & Perspective Projection , Camera model and Camera calibration , 3D scanning, 3D from RGBD data, Binocular imaging systems Image Processing and Feature Extraction, point cloud processing, Triangulation and partitioning, range search, Structure from motion, Shape Representation and Segmentation , Deformable curves and surfaces , Snakes and active contours , Fourier and wavelet descriptors, , Multiresolution analysis (wavelets, curvelets, countourlets, shearlets ), Object recognition, Hough transforms and other simple object recognition methods , Shape correspondence and shape matching, Shape priors for recognition, simultaneous localization and mapping, digital watermarking, content based image retrieval, image compression, image matching

Text Books

Same as Reference

References
  1. Richard Szeliski , Computer Vision: Algorithms and Applications , Springer, 2010
  2. Computer Vision ‐ A modern approach, D. Forsyth and J. Ponce, Prentice Hall ,2002
  1. Introductory Techniques for 3D Computer Vision, by E. Trucco and A. Verri, Publisher: Prentice Hall,1998.
  2. 4.Robot Vision, by B. K. P. Horn, McGraw ‐ Hill,1986