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Campus
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MCS
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Programs
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PG
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Session
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Fall Semester 2016
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Course Title
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Computer Vision
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Course Code
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SE -803
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Credit Hours
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3+0
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Pre-Requisutes
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Pre Requisites: MATH 222 Linear Algebra MATH Probability & Statistics
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Course Objectives
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This course encompasses the theory and practical applications of computer vision including image processing (useful in early stages of computer vision usually to enhance particular information and suppress noise) and visual cognition (computational models of human vision).
The objective of this course is to present an insight into the world of computer vision that goes beyond image processing algorithms. Students will acquire knowledge and an understanding of artificial vision from a system’s viewpoint. Various aspects will be examined and the main approaches currently available in the literature will be discussed, opening the door to the most important research themes.
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Detail Content
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1
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Introduction CV and IP; applications ; images and imaging devices ; perspective projection ; binary image processing
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2
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Pattern Recognition Concepts; filtering and edge detection; color and shading , including 3D effects
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3
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Texture, IBM Veggie Vision, image database, motion, motion vectors, optical flow
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4
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Segmentation, 2D matching
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5
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3D perception; stereo and structured light; shape from shading, 3D sensing; 3D Transformations, Camera calibration
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6
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3D reconstruction, 3D Object modelling and matching
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7
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Augmented reality, review entire course
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Text/Ref Books
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Text Book:
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1. Computer Vision by Linda Shapiro and George Stockman, Prentice- Hall 2001
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Reference:
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1. Computer Vision, D Ballard and C Brown, Prentice- Hall 1982
2. Computer Vision: a modern approach, Forsyth and Ponce, Prentice- Hall 2002
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Time Schedule
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Fall Semester 2015
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Faculty/Resource Person
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Respective TVF
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