{"id":43,"date":"2022-09-20T17:08:03","date_gmt":"2022-09-20T15:08:03","guid":{"rendered":"https:\/\/ics.science.upjs.sk\/ano\/?page_id=43"},"modified":"2023-09-07T14:42:01","modified_gmt":"2023-09-07T12:42:01","slug":"prednasky-2022","status":"publish","type":"page","link":"https:\/\/ics.science.upjs.sk\/ano\/prednasky-2022\/","title":{"rendered":"Predn\u00e1\u0161ky 2022"},"content":{"rendered":"<h2>21.12.2022 3D (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/12\/10-3d.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li><strong>kalibr\u00e1cia kamery, line\u00e1rny model, intrinsic a extrinsic matice<\/strong> &#8211; [Nayar] Reconstruction II. -&gt; Camera Calibration<\/li>\n<li>epipol\u00e1rna geometria<\/li>\n<li><strong>optical flow <\/strong>&#8211; [Nayar] Reconstruction II. -&gt; Optical flow<\/li>\n<li>shape from X<\/li>\n<li>h\u013abkov\u00e1 kamera, mra\u010dno bodov<\/li>\n<li>preh\u013ead z\u00e1vere\u010dn\u00fdch pr\u00e1c z oblasti computer vision<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"http:\/\/phototour.cs.washington.edu\/Photo_Tourism.pdf\">v\u00fdpo\u010det viewpointov z kolekcie fotiek<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>14.12.2022 Object tracking, text\u00fary<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>text\u00fary<\/li>\n<li>object tracking<\/li>\n<li>bayesovsk\u00e9 filtrovanie (Kalman filter, particle filter)<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/courses.cs.washington.edu\/courses\/cse455\/09wi\/Lects\/lect12.pdf\">Textures &#8211; slajdy<\/a><\/li>\n<li><a href=\"https:\/\/broutonlab.com\/blog\/opencv-object-tracking\">Object tracking algoritmy<\/a><\/li>\n<li><a href=\"https:\/\/ics.upjs.sk\/~opiela\/iot\/indora\/pf-simulator.zip\">Particle filter simul\u00e1tor<\/a><\/li>\n<li><a href=\"https:\/\/ics.upjs.sk\/~opiela\/iot\/uvod-do-iot\/\">indoor lokaliz\u00e1cia<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>8.12.2022 Rozpozn\u00e1vanie, strojov\u00e9 u\u010denie, deep learning<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>rozpozn\u00e1vanie<\/li>\n<li>detekcia tv\u00e1re (Haar features, SVM)<\/li>\n<li>Predspracovanie obr\u00e1zkov &#8211; image whitening, data augmentation<\/li>\n<li>neur\u00f3nov\u00e9 siete (konvolu\u010dn\u00e9 neur\u00f3nov\u00e9 siete), \u00falohy, datasety<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.cs.cornell.edu\/courses\/cs5670\/2022sp\/lectures\/lec19_intro_recognition_for_web.pdf\">Introduction to recognition<\/a><\/li>\n<li><a href=\"https:\/\/www.kdnuggets.com\/2018\/10\/preprocessing-deep-learning-covariance-matrix-image-whitening.html\/2\">image whitening<\/a><\/li>\n<li><a href=\"https:\/\/cloud.google.com\/vision\/docs\/drag-and-drop\">Google Cloud Vision API<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>24.11.2022 Pr\u00edznaky (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/11\/07-features.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:\u00a0<\/strong><\/p>\n<ul>\n<li>pr\u00edznaky<\/li>\n<li>detektor, deskriptor<\/li>\n<li>SIFT (scale invariant feature transform)<\/li>\n<li>h\u013eadanie zhody, sp\u00e1janie obrazov, homografia<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/wordsandbuttons.online\/interactive_guide_to_homogeneous_coordinates.html\">interakt\u00edvne transform\u00e1cie<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/File:Affine_transformations.ogv\">affine transformation<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>10.11.2022 Segment\u00e1cia<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>Fitting lines, met\u00f3da najmen\u0161\u00edch \u0161tvorcov, Ransac<\/li>\n<li>Template matching<\/li>\n<li>Kont\u00fary, akt\u00edvne kont\u00fary<\/li>\n<li>Segment\u00e1cia<\/li>\n<li>Segment\u00e1cia pomocou klastrovania (k-means, meanshift, GrabCut)<\/li>\n<\/ul>\n<hr \/>\n<h2>27.10.2022 Gradient, \u010diary, hrany<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>Features<\/li>\n<li>Gradient<\/li>\n<li>Hough transform\u00e1cia<\/li>\n<li>Detekcia rohov (Harris corner detector, Shi-Tomasi)<\/li>\n<\/ul>\n<hr \/>\n<h2>20.10.2022 Transform\u00e1cie (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/10\/04-transformacie.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>Vzorkovanie (sampling), aliasing<\/li>\n<li>Fourierov\u00e1 transform\u00e1cia<\/li>\n<li>Filtrovanie vo frekven\u010dnej oblasti, konvolu\u010dn\u00e1 veta<\/li>\n<li>Zmena rozl\u00ed\u0161enia<\/li>\n<li>Geometrick\u00e9 transform\u00e1cie<\/li>\n<\/ul>\n<p><strong>Odkazy:\u00a0<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.geogebra.org\/m\/wUanseCs\">Geogebra<\/a> square wave fourier transform\u00e1cia<\/li>\n<\/ul>\n<hr \/>\n<h2>6.10.2022 Spracovanie obrazu, konvol\u00facia (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/10\/03-filtrovanie.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li><strong>Transform\u00e1cia pixelov, bodov\u00e9 oper\u00e1tory<\/strong> &#8211; [SZELISKI] chapter 3.1.1 &#8211; pixel transform<\/li>\n<li>Gamma korekcia, vyhladzovanie histogramov<\/li>\n<li>\u0160um<\/li>\n<li>Konvol\u00facia<\/li>\n<li><strong>Line\u00e1rne a neline\u00e1rne filtrovanie<\/strong> &#8211; [NAYAR] Imaging -&gt; Image Processing I.<\/li>\n<li>Cannyho detektor<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.cambridgeincolour.com\/tutorials\/gamma-correction.htm#:~:text=Gamma%20correction%20is%20sometimes%20specified,1%2F1.5%20%3D%201.0).\">Gamma korekcia<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>29.9.2022 Bin\u00e1rne obrazy, Matematick\u00e1 morfol\u00f3gia (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/09\/02-binarne-obrazy.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li>Thresholding<\/li>\n<li><strong>Metrika, vzdialenos\u0165, susedstvo<\/strong> &#8211; [\u0160IKUDOV\u00c1] Morfologick\u00e9 oper\u00e1cie &#8211; 4.2. Z\u00e1kladn\u00e9 pojmy a defin\u00edcie<\/li>\n<li><strong>Matematick\u00e1 morfol\u00f3gia<\/strong> &#8211; [SONKA] chapter 13 \u2013 Mathematical morphology<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.redblobgames.com\/grids\/hexagons\/\">\u0160es\u0165uholn\u00edky<\/a><\/li>\n<li><a href=\"https:\/\/playgameoflife.com\/\">Game of life<\/a><\/li>\n<\/ul>\n<hr \/>\n<h2>22.9.2022 \u00davod do po\u010d\u00edta\u010dov\u00e9ho videnia (<a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/09\/01-uvod-do-CV.pdf\">PDF<\/a>)<\/h2>\n<p><strong>T\u00e9my:<\/strong><\/p>\n<ul>\n<li><strong>\u00davod do Computer Vision<\/strong> &#8211; [SZELISKI] chapter 1 &#8211; Introduction, [SZELISKI] Conclusion, [SONKA] chapter 1 &#8211; introduction<\/li>\n<li><strong>Tvorba obrazu<\/strong> &#8211; [NAYAR] chapter 1.1 &#8211; Imaging -&gt; Image Formation<\/li>\n<\/ul>\n<p><strong>Odkazy:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/cloud.google.com\/vision\">Google Cloud Vision<\/a> &#8211; d\u00e1 sa vysk\u00fa\u0161a\u0165 rozpozn\u00e1vanie obr\u00e1zkov<\/li>\n<li><a href=\"https:\/\/www.geoguessr.com\/\">GeoGuessr<\/a> hra, <a href=\"https:\/\/geohints.com\/\">GeoHints<\/a> + Rainbolt (youtube vide\u00e1 <a href=\"https:\/\/www.youtube.com\/watch?v=aD_rtwofvgU\">PRO geoguessr<\/a> &#8211; na konci videa je 0.1 sekundov\u00fd limit na obr\u00e1zok, <a href=\"https:\/\/www.youtube.com\/watch?v=509wv0cohgA\">40 tipov<\/a>) + AI vs. Rainbolt <a href=\"https:\/\/www.youtube.com\/watch?v=-tf8W8YrVIE\">porovnanie, <\/a>\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=0k-SJgv-laM\">viac o AI implement\u00e1cii<\/a><\/li>\n<li><a href=\"http:\/\/karpathy.github.io\/2012\/10\/22\/state-of-computer-vision\/\">Obama na v\u00e1he<\/a> &#8211; blog \u010dl\u00e1nok o stave AI pri poh\u013eade na fotku<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>21.12.2022 3D (PDF) T\u00e9my: kalibr\u00e1cia kamery, line\u00e1rny model, intrinsic a extrinsic matice &#8211; [Nayar] Reconstruction II. -&gt; Camera Calibration epipol\u00e1rna geometria optical flow &#8211; [Nayar] Reconstruction II. -&gt; Optical flow&hellip;<\/p>\n","protected":false},"author":22,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-43","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/43","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/comments?post=43"}],"version-history":[{"count":33,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/43\/revisions"}],"predecessor-version":[{"id":183,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/43\/revisions\/183"}],"wp:attachment":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/media?parent=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}