Computer Vision

COMP37212 Computer Vision 10 Semester 2 Undergraduate Level 3 Aphrodite Galata Unit coordinator Department of Computer Science 1 FHEQ level (Framework for Higher Education Qualifications) ' Last part of a Bachelors ' European Credit Transfer & Accumulation System Rating : 5.0 The unit aims to provide a broad introduction to Computer Vision and Image Interpretation, and  introduce the essential concepts, algorithmic tools and key applications of computer vision. This involves exploring the challenges of building practical applications in this area and discussing novel approaches to designing vision systems that can learn from data. The unit aims to provide a broad introduction to Computer Vision and Image Interpretation, and  introduce the essential concepts, algorithmic tools and key applications of computer vision. This involves exploring the challenges of building practical applications in this area and discussing novel approaches to designing vision systems that can learn from data. The unit aims to provide a broad introduction to Computer Vision and Image Interpretation, and  introduce the essential concepts, algorithmic tools and key applications of computer vision. This involves exploring the challenges of building practical applications in this area and discussing novel approaches to designing vision systems that can learn from data. ILO 1: Assess technologies and analyse their suitability for specific application scenarios.ILO 2: Describe properties of image data and be able to solve problems about extraction of features and other quantitative information.ILO 3: Design basic systems for image analysis and  computer vision and justify their design.ILO 4: Explain the design of vision and image processing algorithms.ILO 5: Write programs for the analysis of images, object matching and stereo vision.ILO 6: Prepare technical reports on the evaluation of these programs on suitable test data. Topics covered in the unit include:<ul><li>Introduction to Computer Vision and digital images;</li><li>Essential Image processing for Computer Vision;</li><li>Feature-based models, Edges, Corners and local features;</li><li>Visual object recognition; </li><li>Image retrieval;</li><li>Image segmentation;</li><li>Face detection;</li><li>Model-based vision; </li><li>Image stitching and Panoramas;</li><li>Stereopsis: Recovering depth, the correspondence problem, stereo constraints.</li><li>Robot Vision and  Scene Reconstruction.</li></ul> Lectures22 1 Written exam 70% 2 Written assignment (inc essay) 30% Written feedback is provided on 6 pieces of coursework throughout the course, corresponding to the major topics covered. COMP27112 Introduction to Visual Computing Pre-Requisite Compulsory COMP11120 Mathematical Techniques for Computer Science Pre-Requisite Compulsory Students who are not from the School of Computer Science must have permission from both Computer Science and their home School to enrol.Pre-requisitesTo enrol students are required to have taken COMP11120 (waived for CM students) plus COMP27112. N Digital image processing, global edition [electronic resource]     Gonzalez, Rafael C.,    Pearson    2018    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9781292223070&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9781292223070</a> Digital image processing     Gonzalez, Rafael C.,    Pearson Education Limited    2018    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9781292223049&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9781292223049</a> Computer vision : a modern approach     Forsyth, David,    Pearson    2012    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9781292014081&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9781292014081</a> Machine vision     Jain, Ramesh (1949-)    McGraw-Hill    1995    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,0070320187&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">0070320187</a> Introductory computer vision and image processing     Low, Adrian, 1956-    McGraw-Hill    1991    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,0077074033&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">0077074033</a> Image processing, analysis, and machine vision     Sonka, Milan, author.    Cengage Learning    2015    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9781133593690&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9781133593690</a> Computer vision : algorithms and applications     Szeliski, Richard,    Springer    2022    ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9783030343729&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9783030343729</a> Lectures 23 Practical classes & workshops 8 0 69