COMPUTER VISION
Academic Year 2015/2016 - 1° Year - Curriculum Data ScienceCredit Value: 6
Scientific field: INF/01 - Informatics
Taught classes: 48 hours
Term / Semester: 2°
Detailed Course Content
Image formation
Low Level Vision: Filters and Features: Edges, Texture, Laplacian Pyramid,Corner Detection (Harris, …), SIFT
Mid level vision: Segmentation (Thresholding, Seeded Region Growing, Statistical Region Merging, ..)
CV application CBIR Retrieval, Video Stabilization, Face detection and Recognition
Textbook Information
E. Trucco, A. Verri, “Introductory Techniques for 3-D Computer Vision”, Prentice Hall, 1998
G. Bradski, A. Kaehler, “Learning OpenCV Computer Vision with the OpenCV Library” O'Reilly Media, 2008;
Mubarak Shah, "Fundamentals of Computer Vision" (pdf), 1997
R. Hartley and A. Zisserman, “Multiple View Geometry in Computer Vision”, 2004;
D. A. Forsyth, J. Ponce, “Computer Vision a Modern Approach”, Prentice Hall PTR, 2002;
Richard Szeliski, Computer Vision: Algorithms and Application, Springer 2010