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

Same as Reference

1. Richard Szeliski , Computer Vision: Algorithms and Applications , Springer, 2010
2. Computer Vision ‐ A modern approach, D. Forsyth and J. Ponce, Prentice Hall ,2002

3. Introductory Techniques for 3D Computer Vision, by E. Trucco and A. Verri, Publisher: Prentice Hall,1998.
4. 4.Robot Vision, by B. K. P. Horn, McGraw ‐ Hill,1986