{"id":398,"date":"2025-09-24T12:36:41","date_gmt":"2025-09-24T10:36:41","guid":{"rendered":"https:\/\/ics.science.upjs.sk\/ano\/?page_id=398"},"modified":"2025-09-24T12:36:41","modified_gmt":"2025-09-24T10:36:41","slug":"prednasky-2024","status":"publish","type":"page","link":"https:\/\/ics.science.upjs.sk\/ano\/prednasky-2024\/","title":{"rendered":"Predn\u00e1\u0161ky 2024"},"content":{"rendered":"<ul>\n<li><strong>20.09.2024:<\/strong> 1. \u00davod do po\u010d\u00edta\u010dov\u00e9ho videnia<\/li>\n<li><strong>27.09.2024: <\/strong>2. Farebn\u00fd, \u0161edot\u00f3nov\u00fd, bin\u00e1rny obraz. Prahovanie, histogram, vyhladzovanie histogramu. Matematick\u00e1 morfol\u00f3gia.<\/li>\n<li>04.10.2024: bez predn\u00e1\u0161ky<\/li>\n<li><strong>11.10.2024:<\/strong> 3. \u0160um, odstra\u0148ovanie \u0161umu. Filtrovanie, konvol\u00facia. Indoor lokaliz\u00e1cia.<\/li>\n<li><strong>18.10.2024:<\/strong> 4. Filtrovanie vo frekven\u010dnej oblasti, Fourierov\u00e1 tranform\u00e1cia, konvolu\u010dn\u00e1 veta, s\u00ednusoida, vzorkovanie, aliasing. Met\u00f3da najmen\u0161\u00edch \u0161tvorcov, RANSAC. Hough transform\u00e1cia na n\u00e1jdenie \u010diar a kruhov.<\/li>\n<li><strong>25.10.2024:<\/strong> 5. Detekcia hr\u00e1n, gradient, laplacian, Cannyho hranov\u00fd detektor, detekcia rohov.<\/li>\n<li>01.11.2024: bez predn\u00e1\u0161ky<\/li>\n<li><strong>08.11.2024:<\/strong> 6. Segment\u00e1cia obrazu. Klastrovanie (k\u00ad-\u2060means, meanshift). Grabcut. Met\u00f3da akt\u00edvnych kont\u00far. Text\u00fary.<\/li>\n<li>15.11.2024: bez predn\u00e1\u0161ky<\/li>\n<li><strong>22.11.2024:<\/strong> 7. Pr\u00edznaky. Blob detekcia. SIFT detektor a deskriptor. Geometrick\u00e9 transform\u00e1cie.<\/li>\n<li><strong>29.11.2024:<\/strong> 8. Rozpozn\u00e1vanie. Strojov\u00e9 u\u010denie a neur\u00f3nov\u00e9 siete v oblasti po\u010d\u00edta\u010dov\u00e9ho videnia. Predspracovanie obr\u00e1zkov, image whitening, augment\u00e1cia d\u00e1t. Detekcia tv\u00e1re, Haar features.<\/li>\n<li><strong>06.12.2024:<\/strong> 9. Sledovanie objektu na sekvenci\u00ed obr\u00e1zkov, mixture of gaussians, template matching, tracking.<\/li>\n<li><strong>06.12.2024:<\/strong> 10. Vznik obrazu &#8211; dierkov\u00e1 kamera. Projekcia z 3D do 2D, vonkaj\u0161ia a vn\u00fatorn\u00e1 matica, kalibr\u00e1cia kamery, epipol\u00e1rna geometria, h\u013abka obrazu.<\/li>\n<li>13.12.2024: bez predn\u00e1\u0161ky<\/li>\n<li>20.12.2024: predterm\u00edn<\/li>\n<\/ul>\n<hr \/>\n<h3>1. \u00davod do po\u010d\u00edta\u010dov\u00e9ho videnia<\/h3>\n<ul>\n<li><a href=\"http:\/\/karpathy.github.io\/2012\/10\/22\/state-of-computer-vision\/\">Obama na v\u00e1he<\/a>\u00a0\u2013 blog \u010dl\u00e1nok o stave AI pri poh\u013eade na fotku<\/li>\n<li><a href=\"https:\/\/cloud.google.com\/vision\">Google Cloud Vision<\/a>\u00a0\u2013 d\u00e1 sa vysk\u00fa\u0161a\u0165 rozpozn\u00e1vanie obr\u00e1zkov<\/li>\n<\/ul>\n<h3>2. Farebn\u00fd, \u0161edot\u00f3nov\u00fd, bin\u00e1rny obraz. Prahovanie, histogram, vyhladzovanie histogramu. Matematick\u00e1 morfol\u00f3gia.<\/h3>\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<h3>3. \u0160um, odstra\u0148ovanie \u0161umu. Filtrovanie, konvol\u00facia.<\/h3>\n<ul>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/10\/03-filtrovanie.pdf\">slajdy<\/a><\/li>\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<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Convolution\">konvol\u00facia<\/a> &#8211; vizualiz\u00e1cia na wikip\u00e9dii<\/li>\n<li><a href=\"https:\/\/ics.upjs.sk\/~opiela\/iot\/uvod-do-iot\/\">Indoor lokaliz\u00e1cia<\/a><\/li>\n<\/ul>\n<h3>4. Filtrovanie vo frekven\u010dnej oblasti. Hough transform\u00e1cia.<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.geogebra.org\/m\/wUanseCs\">Geogebra<\/a> &#8211; square wave dekompoz\u00edcia pomocou fourierovej transform\u00e1cie<\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/File:Fourier_transform_time_and_frequency_domains.gif\">Fourierov\u00e1 transform\u00e1cia<\/a> &#8211; anim\u00e1cia + <a href=\"https:\/\/en.wikipedia.org\/wiki\/Square_wave#\/media\/File:SquareWaveFourierArrows.gif\">anim\u00e1cia<\/a> pomocou \u0161\u00edpok<\/li>\n<li>samplovanie &#8211; <a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/10\/transformacie-slajd1.png\">slajd1<\/a> <a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/10\/transformacie-slajd2.png\">slajd2<\/a> <a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/10\/transformacie-slajd3.png\">slajd3<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=ebfi7qOFLuo\">Hought transform\u00e1cia<\/a> &#8211; youtube video, demo<\/li>\n<\/ul>\n<h3>5. Detekcia hr\u00e1n, gradient, laplacian, Cannyho hranov\u00fd detektor, detekcia rohov.<\/h3>\n<ul>\n<li><a href=\"https:\/\/opencv24-python-tutorials.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_canny\/py_canny.html\">Canny edge detection<\/a> &#8211; opencv<\/li>\n<\/ul>\n<h3>6. Segment\u00e1cia obrazu. Klastrovanie (k\u00ad-\u2060means, meanshift). Grabcut. Met\u00f3da akt\u00edvnych kont\u00far. Text\u00fary.<\/h3>\n<ul>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/11\/moose.png\">los<\/a>, <a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/11\/ferrari.jpg\">ferrari<\/a>, <a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/11\/lesnica.png\">z\u00e1mok<\/a> &#8211; obr\u00e1zky na segment\u00e1ciu<\/li>\n<li><a href=\"https:\/\/cave.cs.columbia.edu\/Statics\/monographs\/Boundary%20Detection%20FPCV-2-2.pdf\">akt\u00edvne kont\u00fary<\/a> &#8211; u\u010debn\u00fd text k first principles<\/li>\n<li><a href=\"https:\/\/opencv24-python-tutorials.readthedocs.io\/en\/latest\/py_tutorials\/py_imgproc\/py_contours\/py_contours_begin\/py_contours_begin.html\">kont\u00fary<\/a> opencv<\/li>\n<li><a href=\"https:\/\/courses.cs.washington.edu\/courses\/cse455\/09wi\/Lects\/lect12.pdf\">text\u00fary<\/a> prezent\u00e1cia<\/li>\n<\/ul>\n<h3>7. Pr\u00edznaky. Blob detekcia. SIFT detektor a deskriptor. Geometrick\u00e9 transform\u00e1cie.<\/h3>\n<ul>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2022\/11\/07-features.pdf\">prezent\u00e1cia<\/a> &#8211; features<\/li>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2024\/11\/geometricketransformacie.pdf\">prezent\u00e1cia<\/a> &#8211; geometrick\u00e9 transform\u00e1cie<\/li>\n<li><a href=\"https:\/\/www.picclickimg.com\/8qIAAOSwQKJmHBTn\/Wolf-FLUORESCENT-1000-PIece-Jigsaw-Snow-Wolves-scene-By.webp\">ilustra\u010dn\u00fd obr\u00e1zok<\/a><\/li>\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\">afinn\u00e1 transform\u00e1cia<\/a><\/li>\n<li><a href=\"https:\/\/opencv24-python-tutorials.readthedocs.io\/en\/latest\/py_tutorials\/py_feature2d\/py_sift_intro\/py_sift_intro.html#sift-intro\">sift<\/a> &#8211; opencv<\/li>\n<\/ul>\n<h3>8. Rozpozn\u00e1vanie. Strojov\u00e9 u\u010denie a neur\u00f3nov\u00e9 siete v oblasti po\u010d\u00edta\u010dov\u00e9ho videnia. Predspracovanie obr\u00e1zkov, image whitening, augment\u00e1cia d\u00e1t. Detekcia tv\u00e1re, Haar features<\/h3>\n<div class=\"site-section-wrapper site-section-wrapper-main\">\n<div id=\"site-page-columns\">\n<div id=\"site-column-main\" class=\"site-column site-column-main\">\n<div class=\"site-column-main-wrapper\">\n<div class=\"entry-content\">\n<ul>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2023\/11\/Screenshot-from-2023-11-28-11-28-56.png\">ML<\/a><\/li>\n<li><a href=\"https:\/\/www.cs.cornell.edu\/courses\/cs5670\/2022sp\/lectures\/lec19_intro_recognition_for_web.pdf\">recognition<\/a><\/li>\n<li><a href=\"https:\/\/www.kdnuggets.com\/2018\/10\/preprocessing-deep-learning-covariance-matrix-image-whitening.html\">image whitening<\/a><\/li>\n<li><a href=\"https:\/\/quickdraw.withgoogle.com\/#\">quick draw<\/a><\/li>\n<li><a href=\"https:\/\/ics.science.upjs.sk\/ano\/wp-content\/uploads\/sites\/17\/2023\/11\/obhajoba_BP.pdf\">image modification NN<\/a><\/li>\n<li><a href=\"https:\/\/docs.ultralytics.com\/\">yolo<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<div id=\"site-footer-credit\">\n<div class=\"site-section-wrapper site-section-wrapper-footer-credit\"><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>20.09.2024: 1. \u00davod do po\u010d\u00edta\u010dov\u00e9ho videnia 27.09.2024: 2. Farebn\u00fd, \u0161edot\u00f3nov\u00fd, bin\u00e1rny obraz. Prahovanie, histogram, vyhladzovanie histogramu. Matematick\u00e1 morfol\u00f3gia. 04.10.2024: bez predn\u00e1\u0161ky 11.10.2024: 3. \u0160um, odstra\u0148ovanie \u0161umu. Filtrovanie, konvol\u00facia. Indoor lokaliz\u00e1cia.&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-398","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/398","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=398"}],"version-history":[{"count":1,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/398\/revisions"}],"predecessor-version":[{"id":399,"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/pages\/398\/revisions\/399"}],"wp:attachment":[{"href":"https:\/\/ics.science.upjs.sk\/ano\/wp-json\/wp\/v2\/media?parent=398"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}