Computer Vision (CS 518)

2022 Fall
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
10
Erchan Aptoula erchan.aptoula@sabanciuniv.edu,
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English
Doctoral, Master
--
Formal lecture
Interactive,Communicative,Task based learning,Case Study
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Programs\Type Required Core Elective Area Elective
Business Analytics - With Thesis *
Computer Science and Engineering - With Bachelor's Degree *
Computer Science and Engineering - With Master's Degree *
Computer Science and Engineering - With Thesis *
Cyber Security - With Bachelor's Degree *
Cyber Security - With Master's Degree *
Cyber Security - With Thesis *
Data Science - With Thesis *
Electronics Engineering and Computer Science - With Bachelor's Degree *
Electronics Engineering and Computer Science - With Master's Degree *
Electronics Engineering and Computer Science - With Thesis *
Electronics Engineering - With Bachelor's Degree *
Electronics Engineering - With Master's Degree *
Electronics Engineering - With Thesis *
Energy Technologies and Management-With Thesis *
Industrial Engineering - With Bachelor's Degree *
Industrial Engineering - With Master's Degree *
Industrial Engineering - With Thesis *
Leaders for Industry Biological Sciences and Bioengineering - Non Thesis *
Leaders for Industry Computer Science and Engineering - Non Thesis *
Leaders for Industry Electronics Engineering and Computer Science - Non Thesis *
Leaders for Industry Electronics Engineering - Non Thesis *
Leaders for Industry Industrial Engineering - Non Thesis *
Leaders for Industry Materials Science and Engineering - Non Thesis *
Leaders for Industry Mechatronics Engineering - Non Thesis *
Manufacturing Engineering - Non Thesis *
Manufacturing Engineering - With Bachelor's Degree *
Manufacturing Engineering - With Master's Degree *
Manufacturing Engineering - With Thesis *
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) *
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) *
Materials Science and Nano Engineering - With Thesis (Pre.Name: Materials Science and Engineering) *
Mathematics - With Bachelor's Degree *
Mathematics - With Master's Degree *
Mathematics - With Thesis *
Mechatronics Engineering - With Bachelor's Degree *
Mechatronics Engineering - With Master's Degree *
Mechatronics Engineering - With Thesis *
Molecular Biology, Genetics and Bioengineering (Prev. Name: Biological Sciences and Bioengineering) *
Molecular Biology, Genetics and Bioengineering-(Prev. Name: Biological Sciences and Bioengineering) *
Molecular Biology,Genetics and Bioengineering-With Thesis (Pre.Name:Biological Sciences and Bioeng.) *
Physics - Non Thesis *
Physics - With Bachelor's Degree *
Physics - With Master's Degree *
Physics - With Thesis *

CONTENT

This course covers the basic concepts in machine vision, including sensing and perception, 2D image analysis, pattern classification, physics-based vision, stereo and motion, and solid model recognition, image formation and representation, multi-scale analysis, segmentation, contour and region region analysis, reconstruction of depth based on stereo, text shading and motion, and analysis and recognition of objects and scenes using statistical and model-based techniques.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 20
Midterm 15
Participation 5
Presentation 15
Homework 45

RECOMENDED or REQUIRED READINGS

Textbook

Richard Szeliski, Computer Vision: Algorithms and Applications
David Forsyth and Jean Ponce, Computer Vision: A Modern Approach (Second Edition)
Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision (Second Edition)
Rafael Gonzalez and Richard Woods, Digital Image Processing