{"id":2423,"date":"2016-03-04T11:54:26","date_gmt":"2016-03-04T11:54:26","guid":{"rendered":"http:\/\/cvlab-dresden.de\/?p=2423"},"modified":"2016-03-04T12:13:44","modified_gmt":"2016-03-04T12:13:44","slug":"prosem_ba_2015","status":"publish","type":"post","link":"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/prosem_ba_2015\/","title":{"rendered":"Proseminar Aufgabenstellungen der Bildanalyse und Mustererkennung"},"content":{"rendered":"<div id=\"pl-2423\"  class=\"panel-layout\" ><div id=\"pg-2423-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-2423-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-2423-0-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child\" data-index=\"0\" ><div class=\"textwidget\"><h3><span style=\"color: #00008b;\">Sommersemester 2015<\/span><\/h3>\n<p>Das Proseminar befasst sich in diesem Semester mit<\/p>\n<p><strong>Object Recognition and Scene Understanding<\/strong><\/p>\n<p>Welche Ideen gibt es dazu? Wie ist der mathematische \/ algorithmische Hintergrund?<\/p>\n<h4>Kontakt<\/h4>\n<p>TUD-email Holger.Heidrich, Raum 2039<\/p>\n<h4><span style=\"color: #ff0000;\"><strong>Termin<\/strong><\/span><\/h4>\n<p><strike> Freitag, 2. DS, 09:20-10:50 Uhr, APB E008 <\/strike><\/p>\n<p><strong>ACHTUNG:<\/strong><\/p>\n<p>Das Proseminar wurde auf den <strong><a href=\"http:\/\/cvlab-dresden.de\/courses\/Hauptsem_BA\/\">Hauptseminartermin<\/a><\/strong> verlegt!<br \/>\nVortragstermine sind dort eingetragen.<\/p>\n<p><span style=\"color: #ff0000;\">Montag, 4.DS, 13:00, Raum 2026<\/span><\/p>\n<p>zusammengelegt.<\/p>\n<h4>Einschreibung:<\/h4>\n<p>Einschreibung mit Themenwahl \u00fcber TUD-email Holger.Heidrich.<\/p>\n<p>max. 24 Teilnehmer<\/p>\n<p>Terminvergabe\/-absprache zum ersten Seminar am <strong>17.04.2015<\/strong><br \/>\nentsprechend der Einschreibreihenfolge.<\/p>\n<h4>Erforderliche Leistung f\u00fcr den Schein:<\/h4>\n<ul>\n<li>Beteiligung an der Diskussion<\/li>\n<li>Vortrag 30 min + 15 min Diskussion, Pr\u00e4sentation<br \/>\nmindestens drei Tage vorher per email abgeben<\/li>\n<li>Ausarbeitung min. 6 Seiten bis 4 Wochen nach dem<br \/>\nVortrag, im Stil einer wissenschaftlichen Ver\u00f6ffentlichung, enth\u00e4lt<br \/>\neigene Darstellung \/ Gedanken zum Thema und Fragen \/ Probleme der<br \/>\nDiskussion - keine Kopie der Literatur oder Folien<\/li>\n<li>die genannte Literatur dient als Ausgangspunkt;<br \/>\nweitere\/aktuelle Literatur finden Sie unter den angegebenen Links:<\/li>\n<li>Wichtung: Vortrag 60%, Ausarbeitung 20%, Teilnahme\/Diskussion 20%<\/li>\n<\/ul>\n<h4><a href=\"http:\/\/wwwpub.zih.tu-dresden.de\/%7Ehh3\/LV\/HinweiseLV.html\" target=\"_new\">Allgemeine Hinweise zu Recherche Links und Zitaten<\/a><\/h4>\n<p>Die genannte <strong>Literatur<\/strong> dient als Ausgangspunkt; weitere\/aktuelle Literatur finden Sie unter den angegebenen Links.<\/p>\n<p>W\u00e4hlen Sie ein Thema aus der genannten Literatur 1-16.<\/p>\n<p><strong>Intro<\/strong><\/p>\n<ol>\n<li>Recent psychophysical and neural research in shape recognition.<br \/>\nBiederman, I. (2007). In N. Osaka, I. Rentschler, &amp; I. Biederman (Eds.) Object Recognition, Attention, and Action. Ch. 5, 71-88. [<a href=\"http:\/\/geon.usc.edu\/%7Ebiederman\/publications\/Biederman_2007.pdf\" target=\"_new\">PDF<\/a>],  <span style=\"color: rgb(204, 0, 0);\"> Bearbeiter: Maximilian Gr\u00e4f <\/span><\/li>\n<p><strong>Features - lines, texture, region statistics<\/strong><\/p>\n<li>\u00a0Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction, Toshiro Kubota, Terrance L. Huntsberger, and<br \/>\nJeffrey T. Martin. 2001. EMMCVPR '01, UK, 328-343. <a href=\"http:\/\/dx.doi.org\/10.1007\/3-540-44745-8_22\" target=\"_new\">http:\/\/dx.doi.org\/10.1007\/3-540-44745-8_22<br \/>\n<\/a><\/li>\n<li>SHREC 2011: robust feature detection and description benchmark Boyer, E.; Bronstein, A. M.; Bronstein, M. M.; Bustos, B.; Darom, T.; Horaud, R.; Hotz, I.; Kelle, Y.; Keustermans, J.; Kovnatsky, A.; Litman, R.; Reininghaus, J.; Sipiran, I.; Smeets, D.; Suetens, P.; Vandermeulen, D.; Zaharescu, A.; Zobel, V Proc. Eurographics 2011 Workshop on 3D Object Retrieval (3DOR'11), 2011 [<a href=\"http:\/\/www.zib.de\/hotz\/publications\/paper\/boyer11_SHREC.pdf\" target=\"_new\">PDF<\/a>]<\/li>\n<p><strong>Shape recognition<\/strong><\/p>\n<li>Dynamic Time Warping of Cyclic Strings for Shape Matching, Marzal, Andr\u00e9s, Palaz\u00f3n, Vicente, 2005\/01\/01, <a href=\"http:\/\/dx.doi.org\/10.1007\/11552499_71\" target=\"_new\">http:\/\/dx.doi.org\/10.1007\/11552499_71<br \/>\n<\/a>H. Bunke, U B\u00fchler, Applications of approximate string matching to 2D shape recognition, Pattern Recognition, Volume 26, Issue 12, December 1993, Pages 1797-1812, <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/003132039390177X\" target=\"_new\">DOI<\/a><\/li>\n<li>Fast matching of planar shapes in sub-cubic runtime<br \/>\nF. R. Schmidt, D. Farin, and D. Cremers, In IEEE Int. Conf. On Computer<br \/>\nVision, Rio de Janeiro, October 2007.<\/li>\n<li>Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes,<br \/>\nMian, A.S.; Bennamoun, M.; Owens, R.,<br \/>\nIEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, no.10, pp.1584,1601, Oct. 2006, <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=1677516&amp;isnumber=35279&amp;tag=1\" target=\"_new\">[URL]<br \/>\n<\/a><\/li>\n<p><strong>Part based models<\/strong><\/p>\n<li>Discovering Object Categories in Image Collections, Sivic, J. , Russell, B. C. , Efros, A. A. , Zisserman, A. and Freeman, W. T., Proceedings of the International Conference on Computer Vision (2005), <a href=\"http:\/\/www.robots.ox.ac.uk\/%7Evgg\/publications\/papers\/sivic05b.pdf\" target=\"_new\">PDF<br \/>\n<\/a>,  <span style=\"color: rgb(204, 0, 0);\"> Bearbeiter: Lars Beck <\/span><\/li>\n<li>Pictorial Structures for Object Recognition, P. Felzenszwalb, D. Huttenlocher,<br \/>\nInternational Journal of Computer Vision, Vol. 61, No. 1, January 2005, <a href=\"http:\/\/cs.brown.edu\/%7Epff\/papers\/blobrecJ.pdf\" target=\"_new\">pdf<\/a><\/li>\n<li><a href=\"http:\/\/www.cs.cornell.edu\/%7Edph\/papers\/cvpr07.pdf\" target=\"_new\">Composite Models of Objects and Scenes for Category Recognition,<\/a><br \/>\nD. Crandall, D. P. Huttenlocher, Proceedings of IEEE CVPR, 2007,  <span style=\"color: rgb(204, 0, 0);\"> Bearbeiter: Christoph Plagge <\/span><\/li>\n<li>Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection,<br \/>\nLong Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille. CVPR 2010. <a href=\"http:\/\/people.csail.mit.edu\/leozhu\/paper\/RCM10cvpr.pdf\" target=\"_new\">[pdf]<\/a><\/li>\n<p><strong>General<\/strong><\/p>\n<li>Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting, Yann LeCun, Fu-Jie Huang and Leon Bottou, Proceedings of CVPR'04, IEEEPress, 2004, <a href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/lecun-04.pdf\" target=\"_new\"> PDF<\/a>,  <span style=\"color: rgb(204, 0, 0);\"> Bearbeiter: Kurt Lachmann <\/span>  <\/li>\n<li>Learning Convolutional Feature Hierachies for Visual Recognition,<br \/>\nKoray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michael Mathieu and Yann LeCun, Advances in Neural Information Processing Systems (NIPS 2010), 23, 2010, <a href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/koray-nips-10.pdf\" target=\"_new\">PDF<\/a><\/li>\n<li>Automatic recognition of biological particles in microscopic images,<br \/>\nM. Ranzato, P.E. Taylor, J.M. House, R.C. Flagan, Y. LeCun and P. Perona,<br \/>\nPattern Recognition Letters, 28(1):31-39, January 2007, <a href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/ranzato-07a.pdf\" target=\"_new\">PDF<\/a><\/li>\n<li>Comparison of learning algorithms for handwritten digit recognition,<br \/>\nY. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, P. Simard and V. Vapnik, in Fogelman, F. and Gallinari, P. (Eds),<br \/>\nInternational Conference on Artificial Neural Networks, 53-60, EC2 &amp; Cie, Paris, 1995, <a href=\"http:\/\/yann.lecun.com\/exdb\/publis\/pdf\/lecun-95b.pdf\" target=\"_new\">PDF<\/a><\/li>\n<p><strong>Face recognition<\/strong><\/p>\n<li>Eigenspace-based face recognition: a comparative study of different approaches,<br \/>\nJ. Ruiz-del-Solar, P. Navarrete, IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 35,Issue 3, August 2005, pp. 315-325, <a href=\"http:\/\/dx.doi.org\/10.1109\/TSMCC.2005.848201\" target=\"_new\">link<\/a><\/li>\n<p><strong>Scene understanding<\/strong><\/p>\n<li>\u00a0Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models,<br \/>\nCongcong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen.<br \/>\nIEEE Trans Pattern Analysis and Machine Intelligence (PAMI), July 2012. <a href=\"http:\/\/arxiv.org\/pdf\/1110.5102.pdf\" target=\"_new\">[PDF]<\/a><\/li>\n<\/ol>\n<\/div><\/div><div id=\"panel-2423-0-0-1\" class=\"so-panel widget widget_text panel-last-child\" data-index=\"1\" >\t\t\t<div class=\"textwidget\"><!-- TABELLE-->\n<table border=\"1\"><colgroup> <col width=\"60\" \/> <col width=\"120\" \/> <col width=\"420\" \/><\/colgroup>\n<tbody>\n<tr>\n<th>Datum<\/th>\n<th>Name<\/th>\n<th>Thema<\/th>\n<\/tr>\n<tr>\n<td valign=\"top\">11.04.2015<\/td>\n<td valign=\"top\"> Holger Heidrich<\/td>\n<td valign=\"top\">Einf\u00fchrung<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<td valign=\"top\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n\t\t<\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Sommersemester 2015 Das Proseminar befasst sich in diesem Semester mit Object Recognition and Scene Understanding Welche Ideen gibt es dazu? Wie ist der mathematische \/ algorithmische Hintergrund? Kontakt TUD-email Holger.Heidrich, Raum 2039 Termin Freitag, 2. DS, 09:20-10:50 Uhr, APB E008 ACHTUNG: Das Proseminar wurde auf den Hauptseminartermin verlegt! Vortragstermine sind dort eingetragen. Montag, 4.DS, 13:00, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2423","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Proseminar Aufgabenstellungen der Bildanalyse und Mustererkennung - Computer Vision and Learning Lab Heidelberg<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/prosem_ba_2015\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Proseminar Aufgabenstellungen der Bildanalyse und Mustererkennung - Computer Vision and Learning Lab Heidelberg\" \/>\n<meta property=\"og:description\" content=\"Sommersemester 2015 Das Proseminar befasst sich in diesem Semester mit Object Recognition and Scene Understanding Welche Ideen gibt es dazu? Wie ist der mathematische \/ algorithmische Hintergrund? Kontakt TUD-email Holger.Heidrich, Raum 2039 Termin Freitag, 2. DS, 09:20-10:50 Uhr, APB E008 ACHTUNG: Das Proseminar wurde auf den Hauptseminartermin verlegt! Vortragstermine sind dort eingetragen. 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