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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Dear </span><span lang=EN-US style='color:windowtext'>Computer Vision/Image Processing </span><span lang=EN-US>engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>you are welcomed to register in th</span><span lang=EN-US style='color:windowtext'>is <b>short e-course on ‘Computer Vision and Image Processing’, 24-25th February 2021</b></span><b><span lang=EN-US>.</span></b><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><a name="_Hlk60824738"><span lang=EN-US>It will take place as a </span></a><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'>two-day </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH),</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>Thessaloniki, Greece, providing a series of live lectures delivered through</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>a tele-education platform. They will be complemented with on-line video</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>recorded lectures and lecture pdfs, to facilitate international participants</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>having time difference issues and to enable </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'>you </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>to study at own pace.</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>You can also self-assess your knowledge</span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'>, </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US>by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. </span></span><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'><o:p></o:p></span></span></p><p class=MsoPlainText style='text-align:justify'><span style='mso-bookmark:_Hlk60824738'><span lang=EN-US style='color:windowtext'>It is part of the very successful CVML short course series that took place in the last three years. <o:p></o:p></span></span></p><span style='mso-bookmark:_Hlk60824738'></span><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><h1 style='text-align:justify'><span lang=EN-US style='font-size:11.0pt'>Course description ‘Computer Vision and Image Processing’<o:p></o:p></span></h1><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>The short e-course consists of <b>16 1-hour </b></span><b><span lang=EN-US style='color:windowtext'>live </span></b><b><span lang=EN-US>lectures</span></b><span lang=EN-US> organized in two </span><span lang=EN-US style='color:windowtext'>P</span><span lang=EN-US>arts</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>(</span><span lang=EN-US style='color:windowtext'>1 Part </span><span lang=EN-US>per day):</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p style='text-align:justify'><b>Part A (8 hours)</b><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:black'> </span></strong><span lang=EN-US style='color:black'> </span><span lang=EN-US>provide an in-depth presentation of Image Processing theory and its application in the above-mentioned diverse domains. First, an Introduction to Image Processing and Computer Vision will be offered to clarify concepts in a precise and mathematical way. Image formation and its issues (e.g., image noise, deformations) will then be detailed, whether based on visible light or on other modalities (e.g., Xrays, Ultrasound). Image sampling will provide the necessary background to understand the potential and limitations of digital images. 2D Signals and Systems will provide the theoretical and algorithmic tools for most image processing operations. Then notions related to Image transforms will be clarified, together with their applications in image/video analysis and compression. Fast 2D convolution algorithms will provide efficient implementation of most image processing operations. Image perception will overview the Human Visual System and its impact on image quality and image processing system design specifications. Finally, Image filtering will provide tools to reduce noise and enhance image quality, e.g., to increase contrast, perform image zooming or printing. <span style='color:black'><o:p></o:p></span></span></p><p style='text-align:justify'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:black'>Part B (8 hours)</span></strong><span lang=EN-US> provide fan in-depth presentation of both 2D and 3D Computer Vision and Image Analysis theory and their applications in the above-mentioned diverse domains. Edge detection will allow to extract reliable object contours. Region segmentation and Texture description will detail segmentation of an image into homogeneous regions. Either edge or region object descriptions will be employed in 2D object shape analysis. 3D Computer Vision starts with a detailed presentation of image acquisition and camera geometry, including camera calibration. Then, two lectures on a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. Finally, Object tracking is presented, as it is of primary importance (together with object detection presented in the ML DNN e-course) in practically all the above-mentioned Computer Vision applications and way beyond.<span style='color:black'><o:p></o:p></span></span></p><p class=MsoNormal><b><span lang=EN-US>Course lectures<o:p></o:p></span></b></p><p style='margin:0in;text-align:justify'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:black'>Part A </span></strong><strong><span lang=EN-US style='font-family:"Calibri",sans-serif'>Image Processing (first day, 8 lectures):</span></strong><strong><span style='font-family:"Calibri",sans-serif;color:black'><o:p></o:p></span></strong></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Introduction to Image Processing and Computer Vision</span><o:p></o:p></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Image Formation<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Image Sampling<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>2D Systems<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Image Transforms<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Fast 2D Convolution Algorithms<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Image Perception<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l0 level1 lfo3'><span lang=EN-US>Image Filtering<o:p></o:p></span></li></ol><p class=MsoListParagraphCxSpLast style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p style='margin:0in;text-align:justify'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif'>Part B </span></strong><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;font-weight:normal'>Computer Vision</span></strong><strong><span lang=EN-US style='font-family:"Calibri",sans-serif'> (second day, 8 lectures):</span></strong><strong><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></strong></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraphCxSpFirst style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Edge Detection</span><o:p></o:p></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Region Segmentation. Texture Description<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Shape Description<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Image Acquisition. Camera Geometry<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Stereo and Multiview Imaging<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Structure from Motion<o:p></o:p></span></li><li class=MsoListParagraphCxSpMiddle style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>3D Robot Localization and Mapping<o:p></o:p></span></li><li class=MsoListParagraphCxSpLast style='margin-left:0in;mso-add-space:auto;text-align:justify;mso-list:l2 level1 lfo6'><span lang=EN-US>Object Tracking<o:p></o:p></span></li></ol><p style='text-align:justify'><span lang=EN-US>Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on ‘Machine Learning and Deep Neural Networks’ 17-18th February 2021: <br><a href="https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neural-networks/"><span style='color:purple'>CVML Short Course – Machine Learning and Deep Neural Networks</span></a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><b><span lang=EN-US>You can use the following link for course registration:<o:p></o:p></span></b></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><a href="https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing/">https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing/</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Lecture topics, sample lecture ppts and videos</span><span lang=EN-US style='color:windowtext'>, self-assessment questionnaires and programming exercises</span><span lang=EN-US> can be found therein.<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>For questions, please contact: Ioanna Koroni <<a href="mailto:koroniioanna@csd.auth.gr">koroniioanna@csd.auth.gr</a>><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><a name="_Hlk60824849"><span lang=EN-US>The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow,</span></a><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US>Chair of the IEEE SPS Autonomous Systems Initiative, Director of the</span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US>Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle</span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US>University of Thessaloniki, Greece, Coordinator of the European Horizon2020</span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US>R&D project Multidrone. He is ranked 249-top Computer Science and</span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'> </span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US>Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+.</span></span><span style='mso-bookmark:_Hlk60824849'><span lang=EN-US style='color:windowtext'><o:p></o:p></span></span></p><span style='mso-bookmark:_Hlk60824849'></span><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>AUTH is ranked 153/182 internationally in Computer Science/Engineering,</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>respectively, in USNews ranking.</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><b><span lang=EN-US>Relevant links:<o:p></o:p></span></b></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>1) Prof. I. Pitas:<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>2) Horizon2020 EU funded R&D project Aerial-Core: <a href="https://aerial-core.eu/">https://aerial-core.eu/</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>3) Horizon2020 EU funded R&D project Multidrone: <a href="https://multidrone.eu/">https://multidrone.eu/</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>4) Horizon2020 EU funded R&D project AI4Media: <a href="https://ai4media.eu/">https://ai4media.eu/</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>5) AIIA Lab: <a href="https://aiia.csd.auth.gr/">https://aiia.csd.auth.gr/</a><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Sincerely yours</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Prof. I. Pitas<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Director of the Artificial Intelligence and Information analysis Lab (AIIA</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Lab)</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>Post scriptum: To stay current on CVM</span><span lang=EN-US style='color:windowtext'>L </span><span lang=EN-US>matters, you may want to register in the CVML email list, following instructions in: <a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br />
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