Course Information

Course Name	Turkish	Bilgisayarla Görü
	English	Computer Vision
Course Code	BLG 506E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	2	3	3	-	-
Course Language		English
Course Coordinator		Uluğ Bayazıt
Course Objectives		The aim of this course is • To provide a broad introduction to Computer Vision To introduce the basic concepts and approaches of Computer Vision To explore the importance of modelling and representation in interpretation of images. To provide an understanding of the range of processing components involved in computer vision systems. To Prepare to read the current computer vision research literature. To Prepare to read the current computer vision research literature.
Course Description		Image Acquisition, Camera parameters and projections, Linear Operators, Smoothing, Edge, line and corner detection, Parameter estimation,RANSAC, warping, Planar homographies, Hough transform:Line, circle and ellipse fitting, Camera Calibration, Stereo: Correspondance problem, epipolar geometry, shape from stereo, Motion: Motion field, optical flow, structure from motion, Shape from shading, photometric stereo, Video Tracking, and Object Recognition, Variational approaches to vision problems
Course Outcomes		Have an understanding of the theoretical and practical capabilities of Computer Vision Have a knowledge of basic Computer Vision algorithms Be able to formulate solutions to problems in Computer Vision Have a deeper knowledge on term project topic
Pre-requisite(s)
Required Facilities
Other
Textbook		Computer Vision: Algorithms and Applications, 2nd ed.,Richard Szelinski
Other References		Trucco E.and.Verri A,( 1998). Introductory Techniques for 3-D Computer Vision", Prentice Hall Inc.(textbook) Forsyth D. and.Ponce J (2003). Computer Vision: A Modern Approach, Prentice-Hall , Jain R., Kasturi R., and Schunck B. G. (1995). Machine Vision, McGraw-Hill. Shapiro L.G., Stockman G.C. (2001). Computer Vision. Prentice Hall. Sonka M., Vaclav H., and Boyle R. (2007). Image processing, analysis and machine vision (3rd edition), Nelson Engineering,

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