Computer Vision
Course Name:
Computer Vision (CS423/CS423M )
Programme:
B.Tech (CSE)
Semester:
Eighth
Category:
Programme Specific Electives (PSE)
Credits (L-T-P):
04 (3-1-0)
Content:
Introduction to computer vision, Image formation : Geometric primitives and transformation, Photometric image formation, Point operators, Linear filters, Fourier transform, Edge detection, Hough transform, Harris corner detector, HoG, SIFT, LBP, Texture, Segmentation, Feature based alignment, Structure from motion, Image stitching, Stereo Correspondence, Image based rendering, Object detection and recognition, Deep learning in computer vision, Applications.
References:
David Forsyth, Jean Ponce, Computer Vision : A Modern Approach, Pearson Education Ltd., 2015.
Richard Szeliski, Computer Vision : Algorithms and Applications,2010
Goodfellow, I., Bengio, Y., Courville, A., Deep learning. Cambridge: MIT press, 2016
Aurelien Geron, Hands-On Machine Learning with Scikit-Learn & TensorFlow, SPD, 2017
Department:
Computer Science and Engineering