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
 

Contact us

Dr. Manu Basavaraju
Head of the Department
Department of CSE, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Hot line: +91-0824-2474053
Email: hodcse[AT]nitk[DOT]ac[DOT]in
            hodcse[AT]nitk[DOT]edu[DOT]in

                      

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